CLOUD DATA PLATFORM ENGINEER TALENT SOLUTIONS
At Harnham, we understand the critical importance of Cloud Engineer jobs in today’s technology-driven landscape. Our recruitment services are specifically tailored to source and secure top-tier cloud engineers who are proficient in designing, implementing, and maintaining scalable, secure cloud solutions.
Our cloud engineer jobs & recruitment experience spans across all industries, from technology and finance to healthcare and retail. This breadth of knowledge ensures that we can effectively cater to the unique challenges and requirements of your specific sector, delivering candidates who not only match the technical criteria but also align with your company’s strategic goals.
WHY
HARNHAM?
Over the past decade, we have honed our approach to cloud engineer recruitment, solidifying our position as a leader in the field. Our proven track record demonstrates our capacity to consistently provide high-quality cloud engineering talent solutions that contribute to business success.
Our global presence, coupled with in-depth local market expertise, affords us the ability to offer a unique combination of international scope and detailed understanding of local conditions. This dual advantage enables us to deliver highly effective recruitment solutions that are informed by global trends yet tailored to meet local needs in cloud engineering.
OUR
SERVICES
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Permanent Recruitment
We identify and place top-tier permanent talent in cloud engineering roles, ensuring the robustness of your cloud infrastructure projects with dedicated professionals committed to long-term growth and success in your organization.
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Contract Recruitment
Our contract recruitment services provide flexibility and agility, enabling you to respond to project demands and scale your workforce as necessary with qualified, skilled professionals who can advance your cloud initiatives.
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Customized Talent Consulting
Beyond simply filling positions, we offer bespoke talent consulting services, including talent mapping, competitive analysis, and strategic workforce planning. These services are crafted to refine your recruitment strategy and ensure your readiness to meet future industry demands in cloud engineering.
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Executive Search
We conduct specialized searches for senior and executive-level roles in cloud engineering, ensuring your leadership team has the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your cloud capabilities.
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Contact us today to learn how our cloud engineer recruitment solutions can enhance your organisation's cloud engineering capabilities.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Platform Architect
Newport News
$165000 - $190000
+ Data Engineering
PermanentNewport News, Virginia
To Apply for this Job Click Here
Senior Platform Architect
$165,000 – $190,000
Hybrid 3-4 days/week onsite
Overview
A growing technology and professional services organization is seeking a Senior Platform Architect to define and lead the technical vision for enterprise digital platforms. This role is responsible for establishing cloud, application, integration, and data architecture standards while partnering closely with engineering teams to ensure solutions are scalable, secure, cost-effective, and operationally resilient.
The ideal candidate has successfully led the architecture of large-scale production environments, understands the tradeoffs required to support high user volumes and complex workloads, and can demonstrate experience guiding platforms from initial design through ongoing operations.
Key Responsibilities
- Own and evolve the target-state architecture across cloud, application, data, and integration domains.
- Design and implement secure, scalable cloud environments using modern landing zone strategies, network segmentation, private connectivity, governance controls, and industry-recognized architecture frameworks.
- Define API, interoperability, and integration standards across distributed systems, including event-driven architectures and enterprise messaging platforms.
- Establish data architecture patterns supporting both operational and analytical workloads using cloud-native storage, relational databases, and large-scale analytics platforms.
- Define and govern non-functional requirements including system availability, performance targets, recovery objectives, throughput expectations, and cost efficiency metrics.
- Ensure architectural decisions align with security, compliance, governance, and regulatory requirements.
- Lead architecture reviews, resolve technical design conflicts, and provide implementation guidance to engineering teams.
- Drive observability, monitoring, incident readiness, and post-incident architectural improvements.
- Produce architecture documentation, decision records, diagrams, and technical standards for stakeholders and delivery teams.
- Advise leadership on platform investments, technology selection, cost optimization, and build-versus-buy decisions.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, GIS, or a related technical discipline. Equivalent experience may be considered.
- Minimum 7 years of experience in platform architecture, solution architecture, or large-scale systems design.
- Active Secret security clearance required.
- Demonstrated experience serving as the lead architect for production systems supporting large user populations or other highly available, mission-critical environments.
- Deep hands-on expertise with Microsoft Azure, including:
- Azure Kubernetes Service (AKS)
- App Service
- Azure Functions
- Microsoft Entra ID
- Networking, storage, and managed data services
- Experience designing API and integration architectures, including authentication, versioning, contract management, and backward compatibility strategies.
- Strong knowledge of data architecture principles, including modeling, partitioning, governance, and access control.
- Experience establishing architectural standards, governance processes, and secure scalable design practices.
- Ability to translate business requirements into technology strategy, architecture decisions, and implementation guidance.
- Strong communication and documentation skills with experience presenting architectural recommendations to technical and non-technical audiences.
Preferred Qualifications
- Experience operating within regulated government or highly compliant cloud environments.
- Azure Solutions Architect Expert certification or equivalent experience.
- Experience supporting geospatial or location-based technology platforms and interoperable service standards.
- Infrastructure-as-Code expertise using Terraform or Bicep.
- Experience building CI/CD practices using platforms such as Azure DevOps or GitHub Actions.
- Proven record of leading post-incident reviews and driving platform improvements.
- Experience mentoring senior engineers and developing organizational architecture practices.
To Apply for this Job Click Here
Principal Data Engineer
Austin, Texas
$220000 - $250000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
Principal Data Engineer | Enterprise Data Architecture
Location: Austin, TX | Hybrid (4 Days Onsite)
Compensation: $220,000-$250K Base + Bonus + Equity
A leading consumer technology company is seeking a Principal Data Engineer to help shape the future of its enterprise data architecture and drive the technical strategy behind its next generation of data platforms.
This is a highly strategic, architecture-focused individual contributor role, offering the opportunity to influence enterprise-wide technology decisions, lead major data platform initiatives, and partner directly with senior engineering and business leadership.
The organization is making significant investments in modernizing its data infrastructure, with a focus on real-time data capabilities, scalable ingestion frameworks, data governance, and AI-ready architecture.
The Role
As Principal Data Engineer, you will serve as a senior technical authority across the data organization, defining architectural standards and driving long-term platform strategy.
You will have significant autonomy in evaluating technologies, shaping architectural decisions, and influencing multiple engineering teams, while remaining technically engaged in complex engineering challenges.
Key Responsibilities:
- Own and drive enterprise-wide data architecture strategy, ensuring scalability, reliability, security, and performance.
- Design and evolve modern cloud data platforms, including real-time ingestion frameworks, data lakes, warehouses, and semantic layers.
- Evaluate emerging technologies, platforms, and vendors to inform strategic investment decisions.
- Lead architectural decisions across Snowflake and adjacent data technologies.
- Establish best practices for data governance, quality, observability, and cost optimization.
- Partner with senior business stakeholders to translate organizational needs into scalable technical solutions.
- Provide technical leadership, architectural guidance, and mentorship across multiple engineering squads.
- Help shape the organization’s broader Data & AI strategy and future platform roadmap.
What We’re Looking For:
- 12+ years of experience in Data Engineering, Data Architecture, or related technical disciplines.
- Proven experience leading enterprise-scale data architecture initiatives and influencing technical strategy.
- Strong foundational expertise in Data Engineering, including SQL, data modeling, schema design, and modern data platform development.
- Demonstrated experience designing and implementing real-time data platforms and ingestion architectures.
- Experience with modern cloud data ecosystems, ideally including Snowflake or comparable technologies.
- Strong understanding of data governance, data quality, security, and platform optimization.
- Experience evaluating technologies and making architectural recommendations aligned with business objectives.
- Excellent communication skills, with the ability to influence senior stakeholders and collaborate across engineering teams.
- A hands-on technical background combined with the ability to operate strategically at the enterprise level.
Why Join?
- Enterprise-Wide Impact: Own architectural decisions that shape the future of a large-scale consumer technology platform.
- Strategic Ownership: Influence technology selection, investment priorities, and long-term data strategy.
- High Visibility: Partner directly with senior data leadership and cross-functional business stakeholders.
- Modern Data Transformation: Help drive significant investment in real-time data infrastructure, governance, and AI-ready platforms.
- Technical Leadership Without People Management: Operate as a senior individual contributor with broad influence across multiple engineering teams.
To Apply for this Job Click Here
Principal Data Engineer
Austin, TX
$180000 - $210000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
PRINCIPAL DATA ENGINEER / DATA ARCHITECT
AUSTIN, TX (HYBRID – 4 DAYS ONSITE)
$220,000 – $250,000 + BONUS + EQUITY
The Opportunity We’re partnering with a leading consumer technology organization to hire a Principal Data Engineer who will serve as a strategic technical leader across enterprise data architecture, platform modernization, governance, and data product initiatives.
This is not a traditional data engineering role focused solely on pipelines and development. This individual will partner closely with senior leadership to shape the future of the organization’s data ecosystem, influence long-term technology investments, evaluate platform strategy, and guide enterprise architecture decisions that directly impact business outcomes.
The ideal candidate combines deep technical expertise with strong communication skills and the ability to influence stakeholders, mentor engineers, and drive large-scale data initiatives from strategy through execution.
The Data Environment The team is focused on building and evolving modern cloud-native data platforms supporting analytics, customer intelligence, operational decision-making, and future AI initiatives.
- Modern cloud-based data architecture and platform modernization
- Data lakes, data warehouses, lakehouse architectures, and semantic layers
- Real-time and event-driven data processing environments
- Enterprise data governance, quality, security, and compliance
- Data products, domain-oriented architecture, and scalable analytics platforms
- Strategic investments supporting long-term business objectives and AI readiness
What You’ll Be Working On
- Define and drive enterprise data architecture strategy across modern cloud data platforms
- Partner with senior business and technology stakeholders to develop long-term data roadmaps and investment strategies
- Evaluate technologies, vendors, and platform capabilities while providing architecture recommendations and business cases
- Lead architectural decisions around data warehouses, data lakes, lakehouse environments, semantic layers, and data products
- Establish and promote best practices for data governance, security, compliance, quality, and cost optimization
- Architect scalable real-time and batch data ecosystems supporting analytics and operational workloads
- Provide technical leadership, mentorship, and guidance across engineering teams
- Review architecture, troubleshoot complex technical challenges, and influence technical direction across multiple teams
- Drive modernization initiatives that improve scalability, performance, reliability, and business value
What We’re Looking For
- 12+ years of experience in data engineering, data architecture, or enterprise data platforms
- Strong experience designing enterprise-scale data architectures and modern cloud data platforms
- Expertise with data warehousing, data lakes, lakehouse architectures, and data modeling best practices
- Experience building or supporting real-time, event-driven, or streaming data platforms
- Strong understanding of data governance, quality, metadata, lineage, security, and compliance frameworks
- Experience developing data strategies, roadmaps, architecture standards, and platform modernization initiatives
- Ability to communicate architectural concepts and recommendations to both technical and executive audiences
- Proven success influencing stakeholders, evaluating technology solutions, and guiding strategic technical decisions
- Strong SQL, data modeling, schema design, and distributed data systems experience
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred
Why This Role
- Opportunity to shape enterprise-wide data architecture strategy for a highly visible consumer technology organization
- Direct partnership with senior leadership on technology investments, platform decisions, and long-term roadmap planning
- Influence a critical business function that directly drives company initiatives and outcomes
- Work on modern cloud data platforms, real-time architectures, governance programs, and AI-ready data ecosystems
- Serve as a trusted technical authority and mentor across engineering and architecture teams
- High-impact role with significant ownership, visibility, and strategic influence
- Competitive compensation package including bonus and comprehensive benefits
This is a rare opportunity for a senior data architecture leader who enjoys balancing strategy, business influence, platform vision, and technical depth while helping define the future of a large-scale modern data ecosystem.
To Apply for this Job Click Here
Director, Senior Information Architect
Los Angeles Metro Area
$215000 - $265000
+ Data Engineering
PermanentLos Angeles Metro Area, California
To Apply for this Job Click Here
Director, Senior Information Architect
$215,000-$265,0000
5 days/week onsite
Overview
A growing investment-oriented organisation is seeking a senior individual contributor to help shape and scale its enterprise data ecosystem. This role will provide architectural leadership across data management, engineering, governance, analytics, and AI initiatives.
The successful candidate will define enterprise data standards, establish scalable architecture patterns, and ensure data platforms support future business growth while maintaining strong governance, security, and compliance practices. This is a highly collaborative role that requires the ability to bridge business strategy and technical execution while influencing senior stakeholders.
This is not primarily a hands-on development position, but candidates should possess sufficient technical depth to evaluate architecture decisions, review data engineering approaches, assess code and pipeline quality, and establish best practices across the organisation.
Key Responsibilities
- Define and evolve the enterprise data architecture strategy.
- Design scalable approaches for data ingestion, integration, storage, and consumption.
- Establish enterprise standards for data modelling, architecture governance, and platform design.
- Lead architecture decisions related to modern cloud-based data platforms and lakehouse environments.
- Develop governance frameworks covering data quality, metadata management, privacy, security, and regulatory compliance.
- Design and scale metadata, cataloguing, and business data definition frameworks.
- Create architectural standards for data pipelines, orchestration, and operational processes.
- Partner with engineering, governance, and analytics teams to align platform capabilities with business priorities.
- Support the implementation of AI, machine learning, and advanced analytics capabilities on top of enterprise data assets.
- Guide large-scale data platform modernisation and migration initiatives.
- Translate business requirements into pragmatic technical architecture solutions.
- Serve as a senior technical advisor to stakeholders across the organisation.
Required Qualifications
- Significant experience in enterprise data architecture and modern data platform design.
- Strong expertise with Databricks or comparable cloud-native data platforms.
- Deep understanding of dimensional modelling, including star schema design and Kimball methodologies.
- Extensive experience with enterprise data governance frameworks and operating models.
- Strong knowledge of data security, privacy, access controls, and regulatory considerations.
- Experience designing scalable data management and analytics ecosystems.
- Ability to develop architecture standards and best-practice frameworks.
- Strong understanding of end-to-end data lifecycle management.
- Demonstrated ability to influence senior stakeholders and operate independently.
- Capable of partnering effectively with data engineers, architects, and business leaders.
- Strong communication skills with the ability to translate complex technical concepts into business-focused recommendations.
Preferred Qualifications
- Experience with Hadoop and broader Apache ecosystem technologies.
- Background supporting large-scale enterprise data environments.
- Experience implementing and governing Unity Catalog or similar enterprise metadata/catalog solutions.
- Experience with medallion architecture patterns.
- Exposure to AI/ML platform architecture, MLOps, and production analytics environments.
- Experience leading enterprise data platform migrations or transformation programmes.
- Consulting or advisory experience supporting long-term enterprise transformation initiatives.
- Experience within highly regulated industries such as financial services, banking, insurance, asset management, or similar environments.
To Apply for this Job Click Here
Senior Data Architect
Los Angeles
$220000 - $260000
+ Data Engineering
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior Data Architect
Los Angeles, CA
$220-260k base + bonus
We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.
This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.
What You’ll Be Doing
- Design conceptual, logical, and physical data models across enterprise data platforms
- Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
- Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
- Establish Unity Catalog standards for governance, lineage, access control, and data organization
- Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
- Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
- Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
- Support security and privacy controls across sensitive enterprise data
- Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
- Support downstream ML, GenAI, and RAG use cases through well designed data foundations
What We’re Looking For
- Strong enterprise Data Architecture or Data Modeling experience
- Deep hands on experience with Databricks and Delta Lake
- Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
- Experience designing medallion architecture in Databricks
- Strong Unity Catalog experience across governance, lineage, and access controls
- Strong SQL skills and familiarity with enterprise data modeling tools
- Experience with Azure data platforms
- Strong understanding of data governance, security, privacy, metadata, and data quality
- Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
- Comfortable operating independently in environments where standards and frameworks are still being built
Nice to Have
- Experience within financial services, private equity, asset management, or alternative investments
- Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
- Experience building architecture standards from scratch
- Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
- Experience supporting AI, ML, or GenAI workloads
- Databricks, Azure, or TOGAF certifications
To Apply for this Job Click Here
Kafka Data Governance Contractor
London
£500 - £650
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data Governance Contractor – Streaming Schema Governance
London | Outside IR35
This is an opportunity to play a key role in a major data transformation programme focused on establishing and embedding Kafka schema governance at scale. You will help shape governance frameworks, drive stakeholder alignment, and ensure robust controls are implemented across a complex streaming data environment. [Data
The Company
A leading financial services organisation currently building and scaling its enterprise event-streaming capability. As part of a major data transformation programme, the business is implementing Kafka schema governance from the ground up, creating the standards, controls and operating processes needed to support a large-scale Kafka estate of over 300 topics within a regulated environment.
The Role and Deliverables
- Establish and operate a Kafka schema governance framework covering schema quality, nullability, and lifecycle management.
- Facilitate agreement and ratification of schema governance rules, topic taxonomies, and operating standards.
- Define governance processes, including schema review gates, change control, exception management, and ownership models.
- Support onboarding and adoption of the governance framework through stakeholder engagement and guidance.
- Lead assessment and remediation activities across an existing Kafka estate, including schema compliance reviews and prioritisation of issues.
- Drive schema version governance, deprecation processes, and consumer migration activities through to completion.
Your Skills & Experience
- Strong experience delivering data governance or cloud governance programmes.
- Must-have experience with Kafka, including schema governance, schema registry, and data contract concepts.
- Experience working with Confluent Kafka, Avro, or comparable schema management technologies.
- Ability to translate governance, regulatory, or policy requirements into technical controls and operating frameworks.
- Strong stakeholder management skills with the ability to influence governance, architecture, engineering, and business teams.
- Experience producing governance documentation, process design, and audit-ready evidence.
How to Apply
If you have strong Kafka and Data Governance experience and are interested in a high-impact contract opportunity, please apply with your latest CV.
To Apply for this Job Click Here
AI and Data Engineering Lead
New York
$110 - $130
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Engineering Lead – AI & Emerging Technology
Contract Opportunity | 6-Month Engagement | 40 Hours/Week
Location: Hybrid (NYC Office)
Duration: 6 Months
Utilization: 40 Hours per Week
Rate: $110-$130/hr – W2
Overview
We are seeking an experienced Engineering Lead to drive the technical direction and delivery of an innovative AI-focused initiative. This is a hands-on leadership role requiring a strong combination of technical expertise, engineering judgment, and rapid prototyping capabilities.
The ideal candidate will have experience building and deploying AI-powered solutions, working closely with cross-functional stakeholders to transform emerging concepts into functional prototypes and interactive experiences. This role requires someone who enjoys experimenting with cutting-edge technologies while maintaining a practical approach to execution and delivery.
Responsibilities
- Lead the technical strategy and engineering execution for an AI and emerging technology initiative.
- Design and develop rapid prototypes utilizing technologies such as Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, and comparable AI development ecosystems.
- Build, test, and optimize AI agents, prompt frameworks, and agent-driven workflows.
- Design and implement Retrieval-Augmented Generation (RAG) solutions that connect AI applications to enterprise data sources.
- Develop integrations between AI applications, APIs, workflows, and third-party systems.
- Create interactive prototypes, simulations, proof-of-concepts, and user experiences that demonstrate business value.
- Collaborate with product, design, strategy, and business stakeholders to evaluate technical feasibility and delivery approaches.
- Make sound architectural decisions balancing speed, scalability, maintainability, and innovation.
- Provide technical leadership and mentorship while remaining actively involved in hands-on development.
- Rapidly iterate solutions based on testing, stakeholder feedback, and evolving requirements.
Required Qualifications
AI & Microsoft Technology Stack
- Experience with Microsoft Copilot Studio
- Azure AI Services
- Azure OpenAI
- Microsoft Power Platform
- Comparable enterprise AI development platforms and tooling
AI Engineering & Application Development
- Prompt engineering and prompt design
- AI agent architecture and development
- Retrieval-Augmented Generation (RAG)
- LLM-based application development
- Workflow automation
- API development and integration
- Connecting AI applications with enterprise systems and data sources
Product Development & Prototyping
- Developing proof-of-concepts and functional prototypes under tight timelines
- Converting ambiguous concepts into tangible technical solutions
- Building interactive applications, simulations, or digital experiences
- Thriving in fast-paced environments with evolving requirements and priorities
Preferred Qualifications
- Experience with agent orchestration platforms and multi-agent architectures.
- Background in consulting, innovation labs, venture studios, product development organizations, or similar environments focused on rapid experimentation and iterative delivery.
- Experience evaluating emerging technologies and applying them to real-world business challenges.
Desired Attributes
We’re looking for someone who is:
- Hands-On: Actively engaged in architecture, development, and problem-solving.
- Innovative: Passionate about exploring emerging AI technologies and experimentation.
- Business-Oriented: Understands how technical solutions drive business outcomes.
- Pragmatic: Knows when to engineer for scale versus when to optimize for speed.
- Collaborative: Effective working across technical and non-technical teams.
- Adaptable: Comfortable operating in environments with evolving requirements.
- Technical Leader: Able to provide guidance, influence decisions, and build stakeholder confidence
To Apply for this Job Click Here
Lead Data Engineer
$175000 - $210000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Lead Data Engineer
Remote (USA) | $175,000-$210,000
The Role
We are looking for a Lead Data Engineer to provide hands-on technical leadership across data engineering, architecture, and data platform development.
This is a Lead/Principal-level role where you will remain hands-on while setting technical direction, mentoring engineers, and leading complex data initiatives from architecture through implementation.
What You’ll Do
- Design, build, and maintain scalable ELT pipelines and data solutions.
- Lead data architecture, modeling, engineering standards, and best practices.
- Own data transformations and onboarding of new customer data sources.
- Troubleshoot complex customer-facing data issues.
- Improve existing systems through automation, scalability, reliability, and efficiency.
- Lead projects from architecture and planning through deployment and ongoing support.
- Evaluate technical options, communicate tradeoffs, and make recommendations.
- Mentor engineers and contribute to the technical roadmap.
- Manage and lead a small team of Data Engineers, supporting their development and performance.
What We’re Looking For
- 7-10+ years of experience, including 5+ years in Data Engineering.
- Strong SQL and Python skills.
- Deep experience with ELT, data pipelines, and large-scale data ingestion.
- Strong data modeling and architecture experience.
- Experience with Airflow or similar orchestration tools.
- Experience working with large datasets and varying data quality.
- Strong architectural mindset with the ability to make independent technical decisions.
- Experience improving or evolving existing data platforms.
- Previous experience managing a small Data Engineering team is required.
- Strong communication and stakeholder-management skills.
- Experience providing technical leadership and mentoring engineers.
Nice to have: dbt, PostgreSQL, MPP databases, Astronomer/Dagster, healthcare data, and experience across multiple database technologies.
To Apply for this Job Click Here
Engineering Director
London
£100000 - £135000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Engineering Director (Head of Data Engineering)
UK (fully remote) | £100,000 – £135,000 | Annual Bonus
This is a high-impact leadership opportunity for an experienced Engineering Director to build and scale a data platform function supporting business-critical initiatives. You’ll lead engineering delivery, shape technical strategy, and establish the foundations for a modern, AI-enabled data ecosystem.
The Company
They are a global organisation investing heavily in the future of data, analytics, and AI. Following significant commitment to platform modernisation, they are consolidating legacy infrastructure into a centralised, governed, and scalable data environment. This role will play a key part in turning that vision into reality.
The Role
- Build, lead, and develop a high-performing engineering team
- Own engineering operations, delivery planning, and team performance
- Drive architectural decisions and technical best practices
- Establish standards across CI/CD, testing, documentation, and reliability
- Partner with senior leadership on hiring, team development, and strategy
- Manage delivery across platform builds, migrations, and transformation programmes
- Coordinate with technology, product, and business stakeholders
- Ensure operational excellence through monitoring, alerting, and incident management
Your Skills & Experience
- Strong experience leading engineering or platform teams
- Track record delivering large-scale data platform initiatives
- Experience managing multidisciplinary engineering functions
- Strong knowledge of cloud data platforms and modern data stacks
- Familiarity with Snowflake, orchestration tools, and transformation frameworks
- Experience implementing engineering standards and governance processes
- Ability to balance strategic leadership with technical oversight
- Strong stakeholder management and communication skills
What They Offer
- Fully remote working across the UK
- Opportunity to build and shape a strategic platform function
- Significant leadership scope and visibility
- Exposure to enterprise-wide data transformation initiatives
- Collaborative and innovation-focused environment
- Competitive salary and benefits package
How to Apply
Submit your CV to learn more about this Engineering Director opportunity.
To Apply for this Job Click Here
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