DATA PRODUCT MANAGEMENT TALENT SOLUTIONS
Data Product Managers play a crucial role in bridging the gap between data science teams and commercial units, ensuring that data insights are effectively translated into strategic business initiatives.
At Harnham, we understand the unique blend of skills required for these roles, including technical data understanding, strategic insight, and product management. Our recruitment services are designed to identify and attract professionals who can drive the development and management of data-driven products and services.
No matter the industry—whether finance, healthcare, technology, retail, or beyond—our recruitment solutions are adapted to meet the specific challenges and opportunities of your sector. We ensure that the professionals we source not only meet the high technical standards required but also understand the particular nuances of your industry.
WHY
HARNHAM?
Harnham is not just a recruitment agency; we are recognized experts in the data and AI recruitment space. This specialization gives us the edge in understanding the specific demands and evolving trends within the field of Data Product Management, ensuring that we can provide candidates who are both innovators and leaders.
With a robust network of specialists spread across key global markets, combined with deep local market insights, Harnham offers a unique blend of international reach and local expertise. This approach ensures we can deliver tailored recruitment solutions that are globally informed and culturally aligned with your organizational needs.
OUR
SERVICES
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- Permanent Recruitment: We help you find long-term talent who will become integral to your team, driving your data product initiatives from concept to market. Our focus on permanent placements aims to secure candidates who will contribute to and grow with your company over time.
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- Contract Recruitment: Our contract recruitment services provide the flexibility to adapt to project-specific or interim needs. This is ideal for organisations that require agility to manage varying project cycles or need to temporarily enhance their team with specialized skills.
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- Customized Talent Consulting: Beyond mere recruitment, we offer bespoke talent consulting services tailored to your unique needs. This includes talent mapping, competitive analysis, strategic workforce planning, and enhancement of your recruitment strategies. These services are designed to optimize your talent acquisition and retention strategies, ensuring you stay ahead in a competitive market.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Data Modeller
London
£600 - £700
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Data Modeller
Location: Hybrid, London
Contract: 6 Months
IR35: Inside IR35
Rate: £600 – £700 per day
Start Date: September
This is an opportunity to shape the future of enterprise data within a large-scale transformation programme. You’ll play a pivotal role in defining data modelling standards, building an enterprise data model that supports AI and self-service analytics, and establishing best practices that will influence future programmes across the organisation.
The Company
They are a large, well-established FTSE 100 organisation investing heavily in the modernisation of their data landscape. As part of a significant enterprise transformation, they are consolidating multiple data platforms to create a scalable, future-ready data environment. Their focus is on enabling advanced analytics, AI capabilities, and improved decision-making through a robust enterprise data strategy. You will join a collaborative data function working closely with business and technical stakeholders.
The Role and Deliverables
- Design enterprise logical and physical data models across multiple business domains.
- Develop and implement a repeatable enterprise data modelling framework, methodology, and playbook.
- Define and promote data modelling standards, principles, and best practices across the organisation.
- Translate complex business requirements into scalable data models in collaboration with architects, engineers, and business analysts.
- Build enterprise data models that support AI initiatives, self-service analytics, and future data products.
- Contribute to data governance objectives and support the wider enterprise data unification strategy.
Your Skills & Experience
- Strong experience delivering enterprise data modelling as a core discipline.
- Deep understanding of enterprise data modelling methodologies, including Kimball, Inmon, and dimensional modelling.
- Familiarity with Data Vault approaches and broader enterprise modelling concepts.
- Ability to design logical and physical data models from first principles without reliance on modelling software.
- Comfortable communicating data models through workshops, whiteboards, Visio, Excel, or other visual techniques.
- Strong SQL and Python skills.
- Experience working within modern cloud data platforms and analytics environments.
- Knowledge of Medallion Architecture and modern data transformation approaches.
- Experience with Microsoft Fabric, Databricks, Snowflake, or comparable cloud data platforms.
- Strong stakeholder management skills with the ability to explain complex modelling concepts to both technical and non-technical audiences.
- Experience influencing standards, facilitating workshops, and gathering business requirements.
How to Apply
If you are passionate about enterprise data modelling and want to define the foundations of a long-term data strategy, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
Senior Data Engineer
Boston
$75 - $90
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Senior Data Engineer – Snowflake
Remote (EST Preferred) | 9-Month Contract | $75-$90/hr | High Extension Potential | NO THIRD PARTIES OR AGENCIES
Are you passionate about building modern data platforms that power real-world impact?
A growing healthcare technology organization is seeking a Senior Data Engineer to help scale its data ecosystem and enable better insights, reporting, and decision-making across the business.
In this role, you’ll design high-performance data pipelines, improve data quality, and build scalable solutions that support both operational and analytical initiatives.
What You’ll Do
- Develop and maintain scalable batch and streaming data pipelines
- Build robust data models and data infrastructure that support analytics and reporting
- Improve data quality through automated validation, testing, and monitoring frameworks
- Design and support APIs, data services, and integration solutions
- Optimize performance, reliability, and scalability across cloud-based environments
- Partner with Product, Engineering, Analytics, and Operations teams to deliver impactful data solutions
- Contribute to data architecture, governance, and long-term platform strategy
What We’re Looking For
- 5+ years of Data Engineering experience
- Strong SQL and Python development skills
- Experience building production-grade ETL/ELT pipelines
- Hands-on expertise with technologies such as Snowflake, dbt, Kafka, PostgreSQL, MongoDB, or similar tools
- Experience working within AWS or another cloud environment
- Strong understanding of data modeling, APIs, and scalable architecture
- Excellent communication and cross-functional collaboration skills
Nice to Have
- Data observability, lineage, or cataloging experience
- Experience in healthcare, highly regulated industries, or governance-focused environments
- Exposure to data product development or domain-driven data practices
Why Apply?
- Fully remote opportunity
- High-impact project within a growing healthcare technology organization
- Long-term engagement with strong extension potential
- Opportunity to influence data architecture and platform strategy
If you’re looking to build modern data solutions that directly support business growth and innovation, we’d love to hear from you.
To Apply for this Job Click Here
Sr Software Architect
Miami
$28237.02 - $31766647641.19
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
The Role
We are looking for a Technical Architect to take joint ownership of two critical dimensions: shaping the architecture of our platform and providing hands-on technical leadership to our engineering team. You will be a key decision-maker in how we build, scale, and evolve our systems – balancing technical excellence with practical delivery.
You will work closely with engineering, AI/ML, and product teams, and you will have a direct impact on the technology roadmap of a fast-growing startup in a highly regulated and meaningful space.
Responsibilities
Systems Architecture
- Design and evolve the overall platform architecture – backend services, ML inference pipelines, and clinical integrations – ensuring scalability, security, and performance.
- Define and enforce architectural patterns, coding standards, and technology decisions with a long-term perspective.
- Evaluate and select technologies, frameworks, and tools, clearly articulating trade-offs to both technical and non-technical stakeholders.
- Ensure architecture decisions account for the regulatory requirements of the medical device space (MDR, FDA SaMD).
- Lead the technical design of integrations with hospital systems (PACS, HIS) using standards such as DICOM and HL7/FHIR.
- Own non-functional requirements: reliability, latency, data privacy (GDPR, HIPAA-aligned), and disaster recovery.
Technical Leadership
- Be the technical reference for the engineering team: code reviews, mentoring, and establishing engineering best practices.
- Collaborate with the AI/ML team on the productionisation of inference models and the optimization of the end-to-end ML pipeline.
- Contribute to sprint planning and technical estimation, helping the team break down complexity into deliverable increments.
- Proactively identify and mitigate technical risks, communicating them clearly before they become blockers.
- Foster an engineering culture centred on quality, automation, observability, and continuous improvement.
Requirements
Must-haves
- 5-8 years of software engineering experience, with at least 2-3 years in architecture or senior technical leadership roles.
- Proven experience designing and operating cloud-native systems on AWS (compute, storage, networking, managed services, IAM).
- Strong background in Python for production environments – APIs, data processing pipelines, and ML model integration.
- Solid understanding of containerisation (Docker) and orchestration in production environments.
- Deep knowledge of distributed systems design principles: microservices, event-driven architecture, API design, and data consistency patterns.
- Experience building CI/CD pipelines and driving DevOps practices across an engineering team.
- Ability to document and communicate architecture decisions clearly, both in writing and in technical discussions.
- Comfortable operating in a startup environment: autonomous, pragmatic, and able to balance ideal solutions with real constraints.
Nice-to-haves
- Experience deploying and optimising ML models in production – including ONNX Runtime or similar inference frameworks.
- Familiarity with medical imaging standards: DICOM, HL7, FHIR.
- Background in regulated environments (MDR, FDA 21 CFR Part 11, ISO 13485, or similar).
- Experience with MLOps practices: model versioning, drift monitoring, and retraining pipelines.
- Knowledge of PHP/Laravel or experience working with and evolving an existing codebase built on it.
- Prior experience in healthtech, medtech, or other highly regulated industries.
What We Offer
- Competitive salary aligned with your experience and the market.
- Hybrid model with real flexibility – we care about outcomes, not hours.
- Direct, visible impact: your work shapes tools that help clinicians make better diagnoses.
- Small, highly skilled team with strong technical autonomy.
- Annual budget for training, conferences, and certifications.
- Freedom to challenge the status quo and propose improvements to how we build things.
- A collaborative, mission-driven environment where engineering is taken seriously.
To Apply for this Job Click Here
Senior AWS Data Architect
Dallas
$170000 - $190000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Senior Data Architect – AWS
$170,000-190,000
The ideal candidate brings a combination of deep technical expertise, architectural leadership, and the ability to align technology solutions with evolving business objectives. This role will play a key part in modernizing data ecosystems and driving long-term data strategy.
Key Responsibilities
- Define and maintain current-state and future-state data architecture roadmaps, including migration and modernization strategies.
- Develop architectural recommendations that balance scalability, performance, cost, security, and implementation timelines.
- Partner with stakeholders to align data capabilities with strategic business initiatives and operational goals.
- Design and implement robust data integration frameworks supporting batch, streaming, and event-driven architectures.
- Architect scalable, high-performance data pipelines and distributed data processing solutions within AWS environments.
- Establish enterprise data models, standards, and reference architectures across operational and analytical platforms.
- Evaluate and integrate modern AI and machine learning enablement technologies, including vector-based data solutions, retrieval frameworks, and large language model architectures.
- Promote automation, infrastructure-as-code, CI/CD, and reusable engineering patterns to improve efficiency and consistency.
- Lead data governance, metadata management, data quality, and security initiatives throughout the data lifecycle.
- Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
- Collaborate across technology and business functions to drive innovation and continuous improvement.
Required Qualifications
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
- 15+ years of experience in data architecture, data engineering, or enterprise data management.
- Extensive experience designing and implementing cloud-based data platforms, preferably within AWS.
- Strong background in enterprise data modeling, data integration, and data architecture frameworks.
- Experience with large-scale data warehouse, data lake, or lakehouse architectures.
- Expertise in streaming and event-driven technologies, including Apache Kafka or similar platforms.
- Knowledge of modern AI-enabled data architectures, including vector databases, retrieval mechanisms, and generative AI implementations.
- Experience establishing enterprise standards, governance frameworks, and data quality practices.
- Proven ability to lead technical strategy and influence cross-functional stakeholders.
- TOGAF certification or equivalent enterprise architecture framework experience preferred.
Preferred Technical Skills
- AWS data and analytics services
- Cloud-native architecture and modernization
- Data lakes, lakehouses, and data warehouses
- Apache Kafka and streaming technologies
- Data modeling and metadata management
- Data governance and security frameworks
- Infrastructure as Code (IaC)
- CI/CD and DevOps practices
- Generative AI, RAG, vector databases, and orchestration frameworks
- Enterprise architecture methodologies
To Apply for this Job Click Here
Data Architect
Dallas
$150000 - $175000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Principal Data Architect
Location: Dallas, TX (Hybrid – 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits
Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.
About the Opportunity
Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.
This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization’s journey from current-state to future-state architecture.
This opportunity is ideal for someone who combines strong architectural leadership with a hands-on data engineering background and thrives in a transformation-focused environment.
Key Responsibilities
- Assess and document current-state data architecture, platforms, and integrations
- Design future-state enterprise data architecture and transformation roadmaps
- Develop architectural standards and reusable patterns for:
- Real-time data processing
- Streaming architectures
- Batch data processing
- Enterprise and consumer data platforms
- Create and maintain architecture diagrams, data flows, and implementation plans
- Partner with business and technology leaders to align architecture decisions with strategic objectives
- Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
- Define phased implementation strategies, including resource planning and execution sequencing
- Evaluate emerging technologies and recommend solutions based on business use cases
- Provide technical leadership and architectural guidance to engineering teams
- Participate in architecture reviews, proof of concepts, and technical solution validation
Required Qualifications
- 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
- Experience designing and implementing enterprise-scale data platforms and architectures
- Strong background creating technology roadmaps and leading transformation initiatives
- Ability to connect technical decisions to measurable business outcomes
- Experience operating within large, complex organizations (1,000+ employees preferred)
- Proven ability to work independently and drive initiatives with minimal oversight
Technical Requirements
Required Experience
- AWS Cloud
- Kafka (Confluent or Open-Source Kafka)
- Event-driven and streaming architectures
- Real-time data processing
- Batch processing frameworks
- Enterprise integration patterns
- Data architecture and platform modernization
Preferred Experience
- Snowflake
- Fivetran
- dbt
- AI/GenAI architecture and implementation
AI & Innovation Focus
As part of the organization’s technology strategy, AI will play a significant role in future-state architecture.
The ideal candidate will have exposure to:
- Retrieval-Augmented Generation (RAG)
- Large Language Model (LLM) concepts
- AI platform architecture
- Token management and optimization strategies
- AI tooling evaluation and implementation
- Use-case driven AI adoption
We’re looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.
Preferred Industry Experience
Experience within one or more of the following industries is highly desirable:
- Financial Services
- Banking
- Healthcare
- Travel
- Hospitality
Why This Role?
- Direct visibility with senior and executive leadership
- Opportunity to influence enterprise technology strategy
- Lead large-scale modernization and transformation initiatives
- Help shape the organization’s AI roadmap
- Work with modern cloud, streaming, and data technologies
- Drive meaningful business outcomes and measurable change
This is an opportunity to build something transformational-not simply maintain existing systems.
Interview Process
- Initial Interview (45 minutes)
- Onsite Team Panel Interview
- Final Executive Interview
If you’re interested in learning more about this confidential opportunity, please apply directly or contact me for a private discussion.
To Apply for this Job Click Here
Senior Data Engineer / Data Architect
Dallas
$90 - $120
+ Data Engineering
ContractDallas, Texas
To Apply for this Job Click Here
Job Title
Senior Data Engineer/Data Architect
Intro Harnham
Harnham is partnering with a high-growth technology organization to hire a Senior Data
Engineer/Architect contractor. This role is focused on building a clean, scalable data
foundation to support financial reporting and business insights.
Intro client
The client is investing in modernizing its data platform and improving how financial and
operational data is structured and consumed. They are moving away from inconsistent
source systems toward a more reliable and standardized approach.
Role Details
Role: Senior Data Engineer / Data Architect
Location: Fully remote
Length: 6-month contract
Utilization: Full time (40 hours per week)
Intro to role
This is a high-impact contract focused on rapidly improving a data environment that
supports financial reporting. You will design and implement a scalable data model in
Snowflake, using dbt to standardize and modularize SQL logic. This role requires someone
who can operate independently in a fast-paced environment while maintaining strong
engineering standards.
Key Responsibilities
* Design and implement scalable data models in Snowflake for financial reporting
* Refactor and replace inconsistent source data with structured, reliable pipelines
* Build modular dbt models to standardize logic and improve reuse across teams
* Partner with stakeholders to define business logic and ensure data accuracy
* Improve data quality and governance through testing and validation
Requirements: Must have
* Strong hands-on experience with Snowflake and dbt in production environments
* Advanced SQL skills with emphasis on modular, maintainable code
* Proven software engineering mindset (testing, version control, reusable design
patterns)
* Experience building data models for financial or business reporting
* Ability to work independently in environments with limited structure
* Experience working with Salesforce data or CRM integrations
Nice to have
* Exposure to modern analytics features within Snowflake
* Background in high-growth or fast-moving product environments
Outro
This is a critical hire with strong visibility across the business.
To Apply for this Job Click Here
Data Architect (AI & Advanced Analytics)
Remote
$210000 - $230000
+ Data Engineering
PermanentUnited States Virgin Island
To Apply for this Job Click Here
Data Architect (AI & Advanced Analytics)
Location: Remote (USA)
Compensation: $210,000 – $230,000 Base Salary
About the Role
We’re hiring a Data Architect to lead the design and evolution of modern data ecosystems that support advanced analytics, machine learning, and AI-driven decision-making across the business.
This is a senior technical role focused on building scalable data foundations, enabling analytical innovation, and improving how data is structured, governed, and consumed across the organization. You’ll work across data architecture, advanced analytics, and machine learning enablement to support high-impact business initiatives.
This role is ideal for someone who combines strong architectural thinking with hands-on experience supporting modern data and AI workflows.
What You’ll Do
Data Architecture & Platform Design
- Design and implement scalable data architectures that support analytics, machine learning, and operational reporting
- Define data models, storage strategies, and governance frameworks across distributed and cloud-native environments
- Build and improve modern data platform patterns including domain-oriented ownership, federated governance, and scalable data products
- Partner with engineering teams to improve data reliability, accessibility, and lineage across the organization
Advanced Analytics Enablement
- Support the development and deployment of predictive, optimization, and machine learning solutions across multiple business domains
- Build frameworks that improve experimentation, measurement, and analytical rigor
- Help shape data workflows that support production machine learning systems and advanced analytics applications
- Collaborate with teams to improve data quality and readiness for analytical and AI use cases
Insights & Business Partnership
- Analyze complex datasets to uncover trends, opportunities, and performance drivers
- Translate technical findings into strategic recommendations for business and product stakeholders
- Partner cross-functionally with Product, Engineering, Analytics, and Leadership teams to align data architecture with business goals
Leadership & Best Practices
- Establish architectural standards and best practices across data platforms and analytical systems
- Mentor engineers, analysts, and data practitioners across architecture and platform design
- Drive improvements in data governance, quality, and platform scalability
- Evaluate emerging technologies and identify opportunities to improve data systems and analytical capabilities
What We’re Looking For
- 7-10+ years of experience in Data Architecture, Data Engineering, Machine Learning, or Advanced Analytics
- Strong experience designing and implementing modern cloud-based data architectures
- Expertise in Python, SQL, and modern analytical tooling
- Strong understanding of distributed data systems, data modeling, and scalable platform design
- Experience supporting machine learning workflows and production analytical systems
- Strong experience with cloud-native data platforms and storage systems
- Experience with experimentation frameworks, measurement systems, and performance analysis
- Strong communication skills with the ability to work across technical and business teams
- Proven experience influencing data strategy and architectural direction
Preferred Qualifications
- Experience with data mesh, lakehouse, or federated data architectures
- Exposure to modern machine learning platforms and cloud-native AI tooling
- Experience with enterprise-scale analytics platforms and large data ecosystems
- Cloud certifications or advanced analytics certifications are a plus
- Experience in regulated or highly data-sensitive industries is beneficial
Why Join?
This is an opportunity to shape the future of data architecture within a growing organization where data and AI are central to product strategy and business performance. You’ll work on complex technical challenges, influence long-term architecture decisions, and build scalable systems that support the next generation of analytics and machine learning.
To Apply for this Job Click Here
Full Stack Engineer
London
£80000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Full stack Engineer
£80,000 – £100,000
Hybrid – London (3x days per week)
This is a high-impact engineering role within a small, specialist team responsible for accelerating product development across a growing data organisation. You will work at the cutting edge of AI-enabled engineering, building prototypes, tools, and platform components that turn complex data into usable products at speed. If you enjoy autonomy, rapid delivery, and solving ambiguous problems, this role offers immediate visibility and meaningful technical ownership.
The Company
They are a data focused organisation bringing together multiple specialist businesses, each with its own technology stack and domain expertise. Their central technical team is responsible for unifying systems, modernising legacy platforms, and building AI-enabled capabilities that can be leveraged across the group. The environment is highly collaborative, delivery-focused, and driven by experimentation and measurable outcomes.
The Role
You will sit within a small, high-performing technical core, working closely with senior engineering leadership to deliver rapid, tangible results.
- Build internal AI agents and tools that improve productivity and unlock value from group data
- Develop prototypes that validate ideas quickly and can be demonstrated on a weekly basis
- Modernise legacy systems using AI-assisted analysis and development approaches
- Wrap existing systems with clean, scalable APIs to enable wider consumption
- Generate documentation, tests, and migration tooling to support platform evolution
- Contribute to shared data and entity platform development across the organisation
- Continuously improve code quality, leaving systems clearer and more maintainable
Your Skills and Experience
- Strong commercial experience delivering software in fast-paced environments
- Hands-on development capability across Python, TypeScript, and SQL
- Comfortable working with modern AI tooling and agent-based development workflows
- Experience working with data systems, including schema design, data quality, or lineage
- Ability to understand and work across unfamiliar codebases effectively
- Clear communication skills, including writing high-quality pull requests and presenting work
- A proactive, self-directed approach with a focus on delivering outcomes quickly
What They Offer
- Competitive base salary
- Flexible working options across London and remote environments
- High levels of autonomy and ownership from day one
- Exposure to complex data systems and AI-driven engineering challenges
- Opportunity to work in a small, high-impact team with visible output
- Clear progression as the team and platform scale
How to Apply
Apply with your CV to find out more about this AI-Native Software Engineer opportunity. Please note we cannot offer sponsorship for this position
To Apply for this Job Click Here
Director, Data Center Site Operations (Campus Lead)
Dallas
$175000 - $275000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Director of Data Center Site Operations (Campus Lead)
Location: Dallas, TX – Remote
Full-Time | Onsite
Salary: up to $275,000 + equity + bonus
Overview
We are seeking a Director of Data Center Site Operations (Campus Lead) to oversee all aspects of operations for a large-scale data center campus. This senior leadership role will be responsible for site-wide performance, uptime, and operational strategy, while leading multiple teams across engineering, facilities, and operations.
Responsibilities
- Lead end-to-end operations for a multi-building data center campus
- Ensure 99.999% uptime and world-class reliability performance
- Oversee site leadership team (managers across operations, critical facilities, and engineering)
- Drive incident management, root cause analysis (RCA), and continuous improvement programs
- Own site-level operating metrics, SLAs, and reporting
- Manage relationships with key vendors, utility providers, and partner organizations
- Partner with global operations, construction, and engineering teams on capacity expansion and upgrades
- Establish and enforce operational standards, safety protocols, and compliance frameworks
- Lead workforce planning, hiring, and leadership development initiatives
Required Skills
- 10-15+ years in data center, critical facilities, or mission-critical operations
- Proven experience leading large-scale sites or multi-site environments
- Deep expertise in electrical and mechanical infrastructure (UPS, generators, switchgear, HVAC/chilled water systems)
- Strong track record of operational excellence, uptime management, and SLA ownership
- Experience managing layered leadership teams (managers + individual contributors)
- Familiarity with capacity planning, infrastructure lifecycle management, and expansion projects
- Strong understanding of regulatory, safety, and compliance standards (OSHA, NFPA, NEC)
- Executive-level communication and stakeholder management skills
Preferred Qualifications
- Experience in hyperscale, cloud, or large colocation environments
- Background in Lean, Six Sigma, or operational excellence methodologies
- Bachelor’s degree in Engineering, Facilities Management, or related field (or equivalent experience)
Requirements
- Must be authorized to work in the U.S. (no sponsorship available)
To Apply for this Job Click Here
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Industry Hub
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
