At a Glance
- Tasks: Lead the design of a cutting-edge data platform using Databricks on AWS.
- Company: Join a leading public sector data modernization programme in the UK.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional development opportunities.
- Other info: Collaborate with diverse teams and contribute to innovative data solutions.
- Why this job: Shape the future of data analytics and make a real impact in the public sector.
- Qualifications: Experience in data architecture and cloud platforms, especially AWS and Databricks.
The predicted salary is between 60000 - 80000 £ per year.
Data Platform Architect – Databricks (AWS)
This role offers the opportunity to help shape one of the most significant public sector data modernization programs in the UK, establishing a Databricks-based Lakehouse platform on AWS that will become the strategic foundation for future data and analytics capabilities.
About The Role
As a Data Platform Architect – Databricks (AWS), you will lead the architecture and design of a modern enterprise data platform built on Databricks and AWS.
You will define the foundational architecture, governance standards, security controls, integration patterns, and operational frameworks that enable scalable, secure, and self‑service data capabilities across the organization.
Key Responsibilities
- Platform Architecture & Design
- Lead the end‑to‑end architecture and design of the Databricks Lakehouse platform on AWS
- Define foundational architecture components including landing zones, medallion architecture (Bronze, Silver, Gold), storage architecture, and compute strategies
- Establish scalable platform standards, frameworks, and engineering patterns to support enterprise‑wide data initiatives
- Design platform capabilities that support both batch and real‑time streaming workloads
- Define data access, consumption, and serving patterns that enable trusted and governed self‑service analytics
- Ensure platform architecture is aligned with enterprise data strategy and long‑term modernization objectives
- AWS Infrastructure & Integration
- Design and govern the AWS infrastructure supporting the Databricks platform, including networking, security, storage, and identity architecture
- Define integration patterns with internal systems and AWS services including S3, Glue, Kinesis, Event Bridge, and related data services
- Establish infrastructure‑as‑code standards using Terraform or equivalent tooling
- Collaborate with Dev Ops and Cloud Engineering teams to implement automated deployment and configuration management practices
- Ensure platform scalability, resiliency, performance, and operational efficiency across environments
- Security, Governance & Compliance
- Embed security‑by‑design principles into all platform architecture decisions
- Lead the implementation and governance of Unity Catalog, including metastore design, workspace governance, and access control frameworks
- Ensure compliance with public sector security requirements, GDPR, and applicable regulatory frameworks
- Define platform‑wide monitoring, observability, audit logging, and alerting capabilities
- Collaborate with Cyber Security, Risk, and Data Governance teams to establish enterprise governance controls and operational guardrails
- Technical Leadership & Standards
- Serve as the senior technical authority for the Databricks platform architecture
- Establish engineering best practices covering Delta Lake design, workload orchestration, compute optimization, and cost management
- Provide technical assurance across platform implementation activities delivered by internal teams and external partners
- Define reusable architecture patterns, standards, and accelerators that improve consistency and delivery quality
- Continuously evaluate emerging Databricks and AWS capabilities and recommend innovative platform enhancements
- Stakeholder Management & Advisory
- Engage with senior client stakeholders, program leadership, and governance boards to communicate architecture decisions and technical strategy
- Translate complex architecture concepts into clear and business‑friendly communications
- Facilitate architecture reviews, technical workshops, and design governance sessions
- Build strong relationships across business, engineering, security, cloud, and operational teams
- Support strategic planning and roadmap development for future platform evolution
Skills & Experience
- Domain Expertise
- Strong experience designing and implementing enterprise‑scale data platforms and modern Lakehouse architectures
- Deep understanding of data modernization strategies, cloud‑native data ecosystems, and enterprise analytics platforms
- Experience delivering large‑scale data transformation programs within public sector or regulated industries
- Knowledge of enterprise data governance, security, and compliance principles
- Functional Skills
- Proven ability to lead architecture design and technical decision‑making across complex data programs
- Strong expertise in architecture standards, governance frameworks, and solution assurance processes
- Ability to define scalable operating models and platform governance structures
- Excellent communication, stakeholder engagement, and consulting capabilities
- Experience translating business requirements into strategic platform architecture solutions
- Technical Skills
- Deep expertise in Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and cluster management
- Strong experience designing cloud‑native data platforms on AWS
- Hands‑on knowledge of AWS services including S3, IAM, VPC, Glue, Kinesis, Event Bridge, and Cloud Watch
- Strong understanding of medallion architecture, large‑scale data lake implementations, and data engineering patterns
- Experience with Infrastructure‑as‑Code tools such as Terraform
- Knowledge of Dev Ops, CI/CD, platform automation, and cloud‑native operational practices
- Familiarity with Apache Spark, dbt, and modern data integration technologies
- Delivery Experience
- Experience leading architecture for enterprise‑wide Databricks implementations and cloud data modernization initiatives
- Proven success delivering scalable and secure data platforms in complex environments
- Experience collaborating with cross‑functional teams including cloud engineering, cybersecurity, operations, and governance functions
- Experience supporting greenfield platform builds, legacy modernization programs, and large‑scale migrations
- Experience working within UK Public Sector, Government, or other highly regulated environments preferred
- Personal Attributes
- Strong communicator with the ability to engage effectively at both technical and executive levels
- Strategic thinker who balances immediate delivery requirements with long‑term platform vision
- Analytical and solution‑oriented mindset with strong problem‑solving capabilities
- Collaborative leader who can align diverse stakeholder groups around shared architectural goals
- Proactive and forward‑looking, with an ability to identify risks, dependencies, and opportunities early
- Adaptable and resilient in fast‑paced transformation environments
- Contribution to Development of Practice
- Contribute to Cognizant’s Data & AI Consulting capabilities in cloud data platforms and Databricks architecture
- Develop reusable platform blueprints, reference architectures, governance models, and accelerators
- Support knowledge sharing, mentoring, and capability development within the architecture community
- Contribute to thought leadership, proposals, client workshops, and innovation initiatives related to Databricks, AWS, and modern data platforms
- Promote engineering excellence and architecture best practices across client engagements
- Industry Experience
- 10+ years of experience in Data Platform Architecture, Data Architecture, Cloud Architecture, or related disciplines
- Proven experience delivering enterprise Databricks implementations and Lakehouse architecture solutions
- Extensive experience designing cloud‑native data platforms on AWS
- Experience working within UK Public Sector, Government, or regulated industries strongly preferred
- Familiarity with Government Security Classifications, GDPR, and public sector governance frameworks
- Demonstrated experience supporting enterprise‑scale analytics, reporting, and AI‑enabled data ecosystems
- Preferred Certifications
- Databricks Certified Data Engineer Professional or equivalent Databricks certification
- AWS Certified Solutions Architect – Associate or Professional
- AWS Data Analytics Specialty Certification
- Terraform Associate Certification
- Relevant cloud, security, or platform engineering certifications
- Location
- London, United Kingdom (Hybrid – London / Remote)
Security Clearance
SC Clearance required or eligibility to obtain clearance.
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Data Platform Architect – Databricks (AWS) employer: Cognizant
Cognizant is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Public Sector. Employees benefit from comprehensive growth opportunities, including training in cutting-edge AI technologies, while contributing to meaningful projects that impact government services. With a commitment to quality and excellence, Cognizant provides a supportive environment where your contributions are valued and recognised.
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