DEVOPS ENGINEERING TALENT SOLUTIONS
At Harnham, we recognize the unique challenges and demands of recruiting for DevOps Engineering roles. DevOps Engineers are pivotal in bridging the gap between software development, IT operations, and quality assurance.Â
Our expertise isn't limited to one sector; instead, we apply our deep understanding of DevOps requirements across various industries. Whether you’re involved in finance, healthcare, technology, or retail, our recruitment solutions are configured to meet your unique environmental and technological challenges.
WHY
HARNHAM?
We are not just recruiters; we are proven specialists in data and AI fields. This expertise allows us to understand the specific nuances of DevOps within the wider context of data operations, ensuring that we provide candidates who are not only technically proficient but also ready to lead and innovate.
Harnham's global presence is complemented by detailed local market knowledge. This combination enables us to offer a dual advantage: access to a global pool of talent and insights into regional employment dynamics, ensuring a perfect fit between our candidates and your organisational culture.
OUR
SERVICES
- Permanent Recruitment
We identify and place long-term DevOps talent who will integrate into and grow with your teams. Our focus is on finding individuals who will not just fill an immediate need but will also contribute to the strategic growth of your data infrastructure over time.
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- Contract Recruitment
Our contract recruitment services provide the flexibility to scale up or down based on your project demands. This option is perfect for meeting immediate project needs or when requiring specialised skills on a temporary basis.
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- Customized Talent Consulting
Beyond recruitment, we offer customized talent consulting services. These include talent mapping, competitive analysis, strategic workforce planning, and recruitment strategy enhancement. Tailored to prepare your organisation for future challenges, these services ensure you maintain a competitive edge in the rapidly evolving tech landscape.
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- Executive Search
We conduct specialized searches for senior and executive-level roles in DevOps Engineering, ensuring your leadership team possesses the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your DevOps capabilities
Choose Harnham for your DevOps Engineering recruitment needs. Contact us today to discover how our specialised recruitment and talent solutions can advance your data and AI initiatives and strengthen your organisation's capabilities.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Data Architect / Cloud Architect
$75 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data Architect / Cloud Architect (GCP)
About Harnham
Harnham is the global leader in Data & Analytics recruitment. We partner with innovative organisations across data, cloud, AI, and technology to connect exceptional talent with impactful opportunities.
About the Client
Our client is a leading consultancy delivering a large-scale cloud and AI transformation for a well-known organisation in the digital media space. The project focuses on modernising data access, governance, and infrastructure to support next-generation AI products and services.
Role Details
- Title: Senior Data Architect / Cloud Architect
- Contract Length: 4 Months
- Start Date: 24 August
- Rate: $75-$100/hr
- Location: Remote (US based)
About the Role
We are seeking an experienced Senior Data Architect to lead the design and architecture of a complex cloud-based data platform. This individual will act as the senior technical authority across architecture decisions, helping define the platform foundation, security model, integration strategy, and delivery roadmap.
The successful candidate will work closely with consultants, engineers, and client stakeholders to create scalable, secure, and highly available solutions supporting large-scale data access and AI-driven workloads.
Key Responsibilities
- Lead architecture discovery, solution design, and technical planning activities
- Define cloud platform architecture and infrastructure standards
- Create scalable data ingestion, processing, and delivery solutions
- Design secure identity, access control, and governance frameworks
- Drive integration between cloud platforms, data systems, and event-driven services
- Serve as senior escalation point for architecture decisions and stakeholder discussions
Must Have
- Extensive experience designing enterprise-scale data platforms in Google Cloud Platform (GCP)
- Strong background delivering cloud architecture across complex environments
- Deep expertise with Terraform and Infrastructure as Code
- Experience integrating data platforms, APIs, streaming technologies, and cloud services
- Strong understanding of security, access management, governance, and compliance controls
- Excellent communication skills with experience leading technical workshops and architecture reviews
Nice to Have
- AI/ML platform or data product experience
- Exposure to Snowflake environments
- Experience with Kafka or large-scale event streaming architectures
- Data marketplace or Data-as-a-Service platform experience
- Multi-cloud architecture experience
Apply
If you’re an experienced Data Architect looking to make a significant impact on a high-profile AI and cloud transformation initiative, we’d love to hear from you.
WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
Data Architect (GCP)
New York
$70 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior Data Architect / Solution Architect (GCP)
WE WILL NOT BE PARTNERING WITH AGENCIES.
We’re partnering with a leading data consultancy supporting a major media conglomerate on the development of a next-generation AI Data Platform. This is a highly visible architecture engagement with an urgent need and a potential start date as early as August 24, 2026.
Duration: 4-month contract (mid-December wind down)
Location: Remote (U.S. Eastern Time preferred)
Extendable: Yes
Utilization: 40 hours per week
Rate: $70-$90/hour
The Opportunity
As the lead architect, you’ll serve as the technical authority responsible for designing and defining a large-scale AI and data platform that enables governed access to data products for AI training, inference, and evaluation. You’ll lead discovery efforts, establish the architecture baseline, and drive key technical decisions across a complex cloud ecosystem.
Responsibilities
- Lead architecture discovery sessions, workshops, and design reviews
- Architect enterprise-scale solutions utilizing Google Cloud Platform (GCP)
- Design secure, scalable data ingestion, processing, and delivery capabilities
- Establish cloud foundation and Infrastructure-as-Code standards using Terraform
- Design integrations across GCP, AWS, Snowflake, Kafka, and Fastly environments
- Define security, IAM, governance, entitlement, and tenant-isolation frameworks
- Partner directly with client stakeholders, engineering teams, and cloud partners to ensure successful delivery
Required Experience
- Deep expertise designing enterprise-scale data platforms on Google Cloud Platform (GCP) (required)
- Proven experience leading Solution Architecture and Data Architecture initiatives
- Strong hands-on experience with Terraform and Infrastructure as Code (IaC)
- Experience integrating complex ecosystems including Snowflake, AWS, and Kafka
- Strong understanding of API architecture, cloud security, IAM, and data governance
- Exceptional communication and stakeholder management skills
Preferred Experience
- AI/ML platform experience, including Vertex AI and modern data product architectures
- Experience building Data Marketplace or Data-as-a-Service (DaaS) platforms
- Experience operating within large-scale, multi-cloud environment
NO THIRD PARTIES OR AGENCIES.
To Apply for this Job Click Here
Data Architect (Data Privacy)
$70 - $95
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Job Title
Data Architect (Data Privacy)
Intro Harnham
Harnham is partnering with a technology-led organisation undergoing a major data transformation initiative. We are seeking a Data Privacy Architecture Consultant to help define the future state of their cloud data platform.
Intro client
Our client is investing heavily in modern data architecture, governance, and privacy capabilities. They are looking to establish a sustainable and scalable approach to managing customer data while enabling future analytics and AI initiatives.
Role Details
Role: Data Privacy Architecture Consultant
Location: Fully Remote (United States)
Pay: $70 to $95 per hour
Length: 6-month contract
Utilisation: 40 hours per week
Intro to role
This engagement focuses on designing a privacy-first architecture for a modern enterprise data platform. You will partner closely with data engineering and business stakeholders to define how customer identity should be managed while reducing the use of PII throughout analytical environments.
The outcome will be a detailed architectural blueprint, migration roadmap, and implementation recommendations that internal engineering teams can execute.
Key Responsibilities
- Design a privacy-focused target state architecture for analytics and reporting environments
- Define approaches for customer identity resolution, pseudonymization, and universal identifiers
- Create migration plans for existing warehouse assets and transformation models
- Assess impacts across reporting, analytics, operational systems, and downstream data products
- Define integration patterns between identity management services and cloud data platforms
- Produce implementation-ready technical documentation and architecture artefacts
Requirements: Must Have
- Strong experience designing privacy-centric data architectures
- Expertise in identity resolution, pseudonymization, or customer identity management
- Hands-on experience with Snowflake
- Strong dbt experience, including warehouse transformation and migration initiatives
- Experience delivering governance, privacy, or compliance-focused data programs
- Excellent stakeholder communication and documentation skills
Nice to Have
- Experience supporting AI-readiness initiatives
- Exposure to customer identity platforms or MDM solutions
- Experience designing deletion workflows or data subject rights processes
- Background in regulated industries
Outro
This is an opportunity to influence a long-term data platform strategy while solving complex privacy and governance challenges. If you enjoy designing scalable architectures that balance compliance, usability, and business value, we’d love to speak with you.
WE WILL NOT UTILIZE THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
Data Architect (Data Privacy) – Remote
Boston
$80 - $100
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Data Architect
**we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
- Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
- Define and implement a universal customer identifier strategy across the enterprise data estate.
- Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
- Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
- Define integration requirements between the data platform and identity translation services.
- Assess the impact of architectural changes across reporting, analytics, and data products.
- Establish approaches for managing data subject deletion requests within the proposed architecture.
- Provide recommendations for integrating customer feedback and qualitative data sources.
- Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
- Demonstrated experience designing privacy-focused data architectures within enterprise environments.
- Deep expertise in identity resolution, pseudonymization, and customer identity management.
- Strong experience working with Snowflake and modern cloud-based data platforms.
- Proven knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
- Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
- Fully remote engagement within the United States.
- Opportunity to influence a high-profile enterprise data transformation program.
- Direct collaboration with senior data and engineering leadership.
- Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
To Apply for this Job Click Here
AWS Data Architect
Richardson
$170000 - $185000
+ Data Engineering
PermanentRichardson, Texas
To Apply for this Job Click Here
Are you an architect who thrives on transforming complex data ecosystems into modern, intelligent platforms? We are partnering with a highly respected enterprise organization seeking a visionary AWS Data Architect to lead the evolution of its next-generation cloud data strategy.
This is a high-impact opportunity for an experienced architect who enjoys operating at both the strategic and technical levels, influencing enterprise-wide decisions, designing scalable cloud-native solutions, and leveraging emerging AI capabilities to create measurable business value.
You will play a pivotal role in defining the future-state architecture of a rapidly evolving data environment, driving modernization initiatives, and introducing innovative approaches that enable faster decision-making, improved customer experiences, and accelerated delivery across the organization.
Why This Opportunity Stands Out
- Own the vision and roadmap for a large-scale AWS data ecosystem.
- Influence executive-level technology strategy and architectural direction.
- Drive cloud-native modernization initiatives from concept through execution.
- Work with cutting-edge technologies including Agentic AI, Vector Databases, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
- Build scalable, event-driven architectures utilizing real-time and streaming technologies.
- Establish enterprise architecture patterns that accelerate engineering productivity and innovation.
- Lead and mentor high-performing technical teams while shaping best practices across the organization.
What You’ll Be Doing
As the AWS Data Architect, you will serve as a trusted advisor and strategic leader responsible for designing and guiding the organization’s data transformation journey.
Key responsibilities include:
- Defining current-state, future-state, and transitional data architectures that support long-term business objectives.
- Developing strategic roadmaps that balance business value, risk, investment, and speed to market.
- Partnering with business and technology leaders to translate organizational priorities into scalable architecture solutions.
- Designing modern data platforms that support batch, near real-time, and real-time processing.
- Building and optimizing cloud-native data integration patterns across diverse source systems and applications.
- Architecting resilient, high-performance streaming platforms leveraging Apache Kafka and AWS-native services.
- Incorporating advanced AI capabilities including vector databases, Agentic AI frameworks, MCP, and RAG architectures to unlock new business opportunities.
- Championing infrastructure automation, CI/CD pipelines, and reusable architectural patterns that improve consistency and delivery velocity.
- Driving enterprise-wide best practices around data governance, security, quality, and lifecycle management.
- Providing architectural leadership, mentoring technical teams, and fostering a culture of innovation and continuous improvement.
Team Environment
You’ll join a highly collaborative, solution-oriented technology team that values innovation, knowledge sharing, and collective success. Team members are empowered to challenge conventional thinking, exchange ideas openly, and work together to solve complex business and technical challenges.
The culture encourages:
- Continuous learning and experimentation
- Cross-functional collaboration
- Technical excellence
- Mentorship and professional growth
- Innovation through emerging technologies
What We’re Looking For
Successful candidates will bring a blend of enterprise architecture expertise, cloud transformation experience, and a passion for modern data and AI technologies.
Preferred Qualifications
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
- 15+ years of experience designing and delivering enterprise data solutions and modern data architectures.
- Deep expertise building cloud-native platforms within AWS.
- Proven experience developing data frameworks, reference architectures, operating models, and enterprise-scale integration patterns.
- Strong experience with streaming architectures, data modeling, and modern data platform design.
- Demonstrated success leading large-scale modernization and transformation initiatives.
- Familiarity with emerging AI architectures, including Agentic AI, vector databases, MCP, and RAG frameworks.
- Experience influencing senior stakeholders and leading enterprise architecture decisions.
- TOGAF certification or equivalent enterprise architecture framework experience preferred.
Ideal Candidate Profile
We’re seeking a strategic architect who is excited by transformation, energized by innovation, and motivated by the opportunity to build what comes next. This individual combines deep technical expertise with business acumen, communicates effectively with executive stakeholders, and enjoys mentoring teams while delivering meaningful outcomes at enterprise scale.
To Apply for this Job Click Here
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
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Industry Hub
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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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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.
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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.
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Data Direction – Broadcast Media
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
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 /
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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 – 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.
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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!
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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.
