13 days ago
London, United KingdomStaff+
Responsibilities
- Lead the end-to-end architecture and design of an enterprise Databricks Lakehouse platform on AWS.
- Define landing zones, medallion architecture, storage and compute strategies, batch and streaming capabilities, and governed self-service data access patterns.
- Design and govern AWS networking, security, storage, identity, integrations, infrastructure-as-code, deployment, and configuration management.
- Lead Unity Catalog metastore, workspace governance, access control, monitoring, observability, audit logging, and alerting architecture.
- Establish standards for Delta Lake design, workload orchestration, compute optimization, cost management, platform operations, and reusable architecture patterns.
- Provide technical assurance, architecture governance, stakeholder advisory, roadmap planning, mentoring, and practice development across client engagements.
Requirements
- 10+ years of experience in data platform architecture, data architecture, cloud architecture, or related disciplines.
- Proven experience delivering enterprise Databricks implementations, Lakehouse architectures, and cloud data modernization initiatives.
- Deep expertise in Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and cluster management.
- Strong experience designing cloud-native data platforms on AWS, including S3, IAM, VPC, Glue, Kinesis, EventBridge, and CloudWatch.
- Experience with infrastructure-as-code tools such as Terraform and knowledge of platform automation, DevOps, CI/CD, and cloud-native operations.
- Strong understanding of data governance, security, compliance, medallion architecture, large-scale data lakes, and data engineering patterns.
- Experience leading architecture decisions, governance frameworks, solution assurance, operating models, stakeholder engagement, and consulting activities.
- Experience collaborating with cloud engineering, cybersecurity, operations, and governance teams on greenfield builds, legacy modernization, and large-scale migrations.
- Experience in UK public sector, government, or regulated industries is strongly preferred, along with familiarity with government security classifications and GDPR.
- Databricks Certified Data Engineer Professional or equivalent, AWS Solutions Architect or Data Analytics certifications, Terraform Associate, or other relevant certifications are preferred.
- Strong communication, strategic thinking, problem-solving, collaboration, and executive advisory skills.
Benefits
- Hybrid work arrangement based in London, United Kingdom, with London/remote flexibility.
- SC Clearance is required or candidates must be eligible to obtain it.
Tech Stack
Categories
Data EngineeringDevOps
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.