DATA & DevOps ARCHITECT TALENT SOLUTIONS
Data & DevOps Architects are pivotal in designing systems that efficiently integrate data management with streamlined operations. These roles require a rare combination of in-depth knowledge of software development, systems operations, and architecture strategies. At Harnham, we understand these complexities and focus our recruitment efforts on identifying individuals who are not only technically proficient but also possess the visionary insight to mold the future of data and operational infrastructures in any enterprise.
Our recruitment strategies are finely tuned to meet the unique requirements of various industries. Whether it's banking, healthcare, retail, or technology, we ensure that the professionals we connect with your company are equipped to tackle specific industry challenges, making immediate impacts and driving long-term success.
WHY
HARNHAM?
With decades of focused expertise in the Data and AI recruitment space, Harnham stands as a beacon of excellence and innovation. We are adept at anticipating market trends and evolving technology roles, ensuring that our clients receive the best talent solutions that not only meet current needs but are also sustainable and forward-looking.
Our approach combines extensive global reach with acute local market insights. This dual perspective allows Harnham to deliver tailored recruitment solutions that are both expansive and precise, perfectly aligning with the cultural and technical nuances of your organization.
OUR
SERVICES
- Permanent Recruitment: We identify and secure the best permanent talent for your long-term Data & DevOps Architectural needs. Our rigorous selection process ensures that candidates not only fit the technical requirements but also align with your company’s vision and culture.
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- Contract Recruitment: Our contract recruitment solutions offer the flexibility to adapt to dynamic project needs or temporary expansions. This service is ideal for addressing immediate challenges or exploring new opportunities without the long-term commitment.
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- Customized Talent Consulting: Beyond standard recruitment, we provide bespoke talent consulting services. These include talent mapping, competitive market analysis, and strategic workforce planning, designed to optimize your hiring processes and prepare your team for future advancements.
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Opt for Harnham for unparalleled recruitment solutions in Data & DevOps Architecture. Contact us today to discover how our specialized services can accelerate your projects and enhance your organisational effectiveness.
At Harnham, we are dedicated to transforming your business landscape through strategic talent solutions, supported by our deep industry knowledge and a commitment to excellence in the fields of data and AI.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Data Engineer
Manhattan
$160 - $200
+ Data Engineering
PermanentManhattan, New York
To Apply for this Job Click Here
Data Engineer
Location: San Francisco OR New York City
This will be an onsite role, expectations are that you are in the office 3-4x per week
Compensation: Base $160,000 – $200,000 plus bonus
This role sits at the intersection of data engineering and investment analytics, responsible for building the data foundations that power AI systems, portfolio insights, and advanced analytics.
Key Responsibilities
- Build and maintain production-grade data pipelines powering AI systems, including ingestion from internal platforms, external vendors, and unstructured data sources
- Ensure data quality, consistency, and reliability across datasets used for AI applications and portfolio monitoring
- Collaborate with infrastructure teams on data architecture, integration, and security requirements
- Develop portfolio analytics solutions, including dashboards, external data integration platforms, and investment performance analysis
- Support analytics applications through engineering improvements and AI-assisted data processing workflows
- Provide quantitative and technical support to investment teams on live transactions using internal tools
- Build and manage external data vendor integrations, including APIs, schema documentation, and data lineage tracking
Requirements
- 2-4 years of experience in data engineering, building and maintaining production pipelines that feed GenAI systems
- Strong proficiency in SQL and Python
- Experience working with unstructured data is a must
- Experience with modern data stack tools (e.g. Snowflake, dbt, Airflow or equivalents)
- Experience with cloud data infrastructure (AWS), including ETL/ELT patterns and API integrations
- Exposure to datasets used in AI/ML workflows (e.g. embeddings, vector stores, retrieval pipelines) is a strong plus
- Familiarity with AI-native development tools and workflows (e.g. LLM-based coding assistants)
- Strong analytical mindset with attention to data quality and pipeline reliability
- Experience building dashboards and monitoring systems
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Experience in financial datasets or financial services is beneficial but not required
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a quantitative discipline
Please note: this role is not eligible for visa sponsorship and we are unable to accept C2C or contractor arrangements.
To Apply for this Job Click Here
Data Engineer
San Francisco
$160 - $200
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Data Engineer
Location: San Francisco OR New York City
This will be an onsite role, expectations are that you are in the office 3-4x per week
Compensation: Base $160,000 – $200,000 plus bonus
This role sits at the intersection of data engineering and investment analytics, responsible for building the data foundations that power AI systems, portfolio insights, and advanced analytics.
Key Responsibilities
- Build and maintain production-grade data pipelines powering AI systems, including ingestion from internal platforms, external vendors, and unstructured data sources
- Ensure data quality, consistency, and reliability across datasets used for AI applications and portfolio monitoring
- Collaborate with infrastructure teams on data architecture, integration, and security requirements
- Develop portfolio analytics solutions, including dashboards, external data integration platforms, and investment performance analysis
- Support analytics applications through engineering improvements and AI-assisted data processing workflows
- Provide quantitative and technical support to investment teams on live transactions using internal tools
- Build and manage external data vendor integrations, including APIs, schema documentation, and data lineage tracking
Requirements
- 2-4 years of experience in data engineering, building and maintaining production pipelines that feed GenAI systems
- Strong proficiency in SQL and Python
- Experience working with unstructured data is a must
- Experience with modern data stack tools (e.g. Snowflake, dbt, Airflow or equivalents)
- Experience with cloud data infrastructure (AWS), including ETL/ELT patterns and API integrations
- Exposure to datasets used in AI/ML workflows (e.g. embeddings, vector stores, retrieval pipelines) is a strong plus
- Familiarity with AI-native development tools and workflows (e.g. LLM-based coding assistants)
- Strong analytical mindset with attention to data quality and pipeline reliability
- Experience building dashboards and monitoring systems
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Experience in financial datasets or financial services is beneficial but not required
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a quantitative discipline
Please note: this role is not eligible for visa sponsorship and we are unable to accept C2C or contractor arrangements.
To Apply for this Job Click Here
Data Engineer
$150000 - $200000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Data Engineer
Location: New York Metro (Hybrid)
Pay: $150k – $200k base + bonus
About the Role & Company
This is an opportunity to join a highly technical, growth-focused investment organisation operating at the intersection of technology, data, and capital. The firm invests exclusively in technology and technology-enabled businesses and maintains a flat, meritocratic culture with strong emphasis on collaboration, trust, and engineering judgment.
The organisation is undergoing a significant data and AI transformation, building foundational infrastructure from the ground up to support investment decision-making, portfolio analysis, and automation. This role sits at the centre of that effort and works closely with investment professionals and senior technical leadership.
Responsibilities
- Build and maintain production-grade data pipelines across structured and unstructured data sources
- Organise and structure fragmented internal and external datasets into scalable, reliable systems
- Design and implement data architecture using modern cloud platforms (e.g., AWS, Snowflake)
- Enable downstream analytics and AI-driven workflows through high-quality data foundations
- Independently evaluate and select appropriate tools and technologies
- Support lightweight AI or agent-based workflows embedded within broader systems
- Partner closely with technical leadership and non-technical stakeholders to support real investment use cases
- Ensure data reliability, scalability, and maintainability across systems
Must-Have Qualifications
- 2-4 years of experience in data engineering or analytics engineering
- Strong proficiency in SQL and Python
- Hands-on experience building and maintaining production data pipelines
- Experience working with cloud data platforms Snowflake, AWS
- Solid understanding of data architecture and engineering trade-offs
- Ability to work independently with strong technical judgement
To Apply for this Job Click Here
Enterprise Data Architect
New York
$20000 - $185000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
This is a true greenfield opportunity to take an existing Databricks proof of concept and turn it into a scalable, production-grade data lakehouse powering analytics and AI across the organization.
Why This Role
- Greenfield architecture ownership
- Direct access to senior leadership
- High visibility across analytics and AI initiatives
- Real-world impact on globally recognized projects
What You’ll Do
- Architect and build Databricks on AWS
- Design a modern lakehouse architecture (Databricks + Snowflake)
- Define scalable data pipelines and integration patterns
- Partner with Info Systems and DevOps teams
- Drive cost optimization and platform scalability
- Establish governance, standards, and technical roadmap
- Shape the future of analytics and AI across the firm
What We’re Looking For
- 10+ years in data architecture / engineering
- Strong expertise in Databricks, AWS, and Snowflake
- Proven experience building enterprise data platforms end-to-end
- Experience in greenfield environments
- Strong business partnership and stakeholder communication skills
Nice to Have
- Experience with design or engineering data
- Collaboration with DevOps teams
- Interest in analytics, ML, or AI
Location: New York, NY – Hybrid
If you’re excited to build a data platform from scratch and drive real-world impact at global scale, apply now!
To Apply for this Job Click Here
Data Governance Manager
New Malden
£70000 - £75000
+ Data Engineering
PermanentNew Malden, London
To Apply for this Job Click Here
Data Governance Manager
Hybrid London (1 day/week)
Up to £75,000 + Bonus + Benefits
We’re hiring a Data Governance Manager to help build trusted, well-governed data foundations across a growing, tech-led insurance business. This is a hands-on role shaping how data supports analytics, AI, and decision-making across the organisation.
Why this role?
-
Own and deliver a company-wide data governance strategy.
-
Work in a modern, cloud-based environment (GCP today – AWS/Azure experience welcome).
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Shape data ownership, quality, lineage, and access control.
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Hire and manage a Data Quality Analyst.
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Hybrid working: 1 day per week in the London office.
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Salary up to £75,000 plus bonus and benefits.
What you’ll do:
-
Design and embed scalable data governance frameworks.
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Define data domains, ownership, and stewardship with engineering and business teams.
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Implement standards for data quality, metadata, lineage, and documentation.
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Support compliance, privacy-by-design, and responsible data access.
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Improve data literacy and governance adoption across teams.
What we’re looking for:
-
Experience delivering data governance in modern, cloud-based data platforms.
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Strong understanding of metadata-driven governance and analytics/AI data needs.
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Experience with data catalogues, quality, and access control tooling.
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Confident communicator across technical and non-technical stakeholders.
Nice to have:
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Regulated industry experience (insurance/FS).
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Exposure to dbt or modern data tooling.
Cloud note: GCP experience is a bonus, not a requirement – strong AWS or Azure backgrounds are welcome.
To Apply for this Job Click Here
Senior Data Architect
London
£70000 - £88000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Data Architect – London – Hybrid
About the Role
We are looking for a talented Senior Data Architect to join a global consultancy specializing in financial services. This role offers the chance to work on high-impact projects, shaping modern data strategies and solutions for leading financial institutions. If you have a passion for innovation and a deep understanding of data systems, we want to hear from you.
The Company
Our client is a top-tier technology and business consultancy known for its innovative approach and commitment to diversity and inclusion. With a strong presence in the financial services sector, they empower their employees to deliver meaningful results and thrive in a collaborative, inclusive environment.
Key Responsibilities
- Deliver data architecture projects, working closely with clients to design efficient and scalable solutions.
- Provide best practice guidance for data management, architecture design, and optimization.
- Develop modern data architecture frameworks, including cloud migration strategies and governance models.
- Collaborate with multidisciplinary teams to deliver robust, future-ready solutions.
- Drive data transformation initiatives to unlock value and operational efficiency.
Ideal Candidate Profile
- Demonstrable experience in data architecture, strategy, and governance within enterprise settings.
- Expertise in cloud technologies (AWS, Azure, or GCP) with relevant certifications preferred.
- Strong knowledge of data modeling, cloud migration patterns, and data governance tools.
- Hands-on experience with data privacy, security frameworks, and cost management in cloud ecosystems.
- Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.
- Experience in financial services or other complex industries is advantageous.
What You’ll Gain
- Collaborate with a global network of data professionals and industry experts.
- Work on transformational projects for some of the largest financial institutions.
- Enjoy a flat, inclusive structure where your contributions are recognized.
- Access learning and development programs to enhance your career growth.
- Benefit from family-friendly policies, including enhanced leave and wellness support.
If you’re ready to elevate your career and make a meaningful impact, apply now for this exciting opportunity as a Senior Data Architect.
To Apply for this Job Click Here
Principal Data Architect
London
£90000 - £117000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Principal Data Architect – Hybrid – London – No Sponsorship Available
About the Role
We are seeking an experienced and visionary Principal Data Architect to join a leading consultancy in the financial services sector. This strategic role involves leading complex, high-profile data initiatives that drive innovation and transformation for major financial institutions.
The Company
Our client is a globally recognized consultancy specializing in technology and business transformation within financial services. Known for fostering an entrepreneurial culture and championing diversity, they empower their teams to deliver impactful solutions in a collaborative and inclusive environment.
Key Responsibilities
- Lead large-scale data architecture projects, providing strategic direction and expert guidance.
- Partner with senior technology leaders to develop and implement modern data strategies.
- Design and deliver innovative solutions for data management, governance, and cloud migration.
- Oversee the development of robust data platforms using cutting-edge cloud technologies.
- Manage project teams, mentor junior staff, and support business development initiatives.
Ideal Candidate Profile
- Extensive experience in enterprise data architecture, strategy, and implementation.
- Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable.
- In-depth knowledge of data modeling, data lake design, and metadata management tools.
- Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems.
- Experience in the financial services sector, with a track record of success in complex environments.
- Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset.
Why Join Us?
- Work on transformative projects with leading financial institutions.
- Join a global network of data strategists, architects, and engineers.
- Enjoy a non-hierarchical, inclusive culture that values your expertise.
- Take advantage of extensive learning and career development opportunities.
- Access competitive family-friendly benefits, including enhanced leave and wellness programs.
If you’re passionate about data innovation and ready to lead groundbreaking projects, we encourage you to apply for the Principal Data Architect role today.
To Apply for this Job Click Here
Data Architect
London
£600 - £630
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Job Title: Data Architect (Contract)
Location: London (Hybrid – 2 days per week)
Rate: £630 per day (Inside IR35)
We are supporting a leading aviation business undergoing a major data platform transformation and are looking for an experienced Data Architect to play a key role in delivering this programme.
Role Overview
This is a hands-on Data Architect role focused on leading the migration of a legacy Oracle estate into AWS and Snowflake. You will be responsible for overseeing a team of engineers while driving the design and implementation of a scalable, modern cloud data platform.
Key Responsibilities
-
Lead the end-to-end architecture and delivery of an Oracle to AWS/Snowflake migration
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Oversee and guide a team of data engineers, ensuring best practices and high-quality delivery
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Design scalable, secure, and high-performing data models and pipelines
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Re-engineer legacy Oracle data structures into modern cloud-native architectures
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Work closely with stakeholders to gather requirements and align technical solutions to business needs
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Ensure strong data governance, quality, and performance across the platform
Key Requirements
-
Proven experience as a Data Architect on large-scale cloud migration programmes
-
Strong experience migrating Oracle systems to AWS and Snowflake
-
Experience leading and mentoring engineering teams
-
Strong background in data modelling, architecture design, and cloud data platforms
-
Experience working with HR data (key requirement)
-
Excellent stakeholder management and communication skills
To Apply for this Job Click Here
Data Architect – HR Integration
London
£600 - £630
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data Architect – HR Integration
£600-£630 per day
London
This is an opportunity to join a major HR data transformation programme, playing a pivotal role in shaping new data models and driving the migration from legacy Oracle systems to a modern AWS and Snowflake environment. You will be joining a high-impact team delivering new HR data products that sit at the heart of a large-scale agile transformation.
The Company
They are undergoing a strategic rebuild of their HR data ecosystem as part of a wider digital transformation. Operating in a complex, fast‑paced environment, they are modernising their core HR systems and embedding cloud-first data practices. You will join a collaborative, delivery-focused team that is building out new data foundations and establishing best practice across architecture and engineering.
The Role and Deliverables
* Lead data architecture work across HR datasets, ensuring models are well designed and aligned with business needs.
* Work closely with Oracle SMEs to understand the current-state data structures and translate them into target-state cloud models.
* Collaborate with data engineers to ensure engineering outputs align with the architectural blueprint.
* Support migration work into AWS and Snowflake as part of a new HR solution implementation.
* Provide architectural guidance and technical oversight within a cross-functional delivery team.
* Deliver six defined HR data products over the initial contract period.
Your Skills and Experience
* Strong capability working with HR data, particularly across complex enterprise environments.
* Deep experience in AWS and Snowflake, especially in contexts involving migration from legacy systems.
* Strong understanding of Oracle data models and how to interpret and translate them into cloud architectures.
* Ability to work closely with engineering teams to validate modelling decisions and ensure build quality.
* Clear communicator comfortable influencing stakeholders across architecture, engineering, and product.
How to Apply
If you have the technical depth and architectural mindset to drive an HR data transformation, we would love to hear from you. Apply today to learn more.
To Apply for this Job Click Here
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Industry Hub
HARNHAM
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.
Visit our Blogs & News portal or check out our recent posts below.
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
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Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent…
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by Ross Henderson, Director at Harnham. If you read the news, you’d be forgiven for thinking…
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by Kiran Ramasamy, Business Manager at Harnham. Analytics Leadership in PE Portfolios: Timing the Right Hire A…
Data & Analytics Hiring Trends: Market Insight
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How a Leading European Media Group Unified Its Data Strategy with Harnham
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Testimonials
Client and
candidate
testimonials
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.
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
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 – 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 /
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
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
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.
Client /
Data Direction – Broadcast Media
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.
