Data Foundation Engineering Lead

About the role

Evinova, part of AstraZeneca, is looking for a Data Foundation Engineering Lead to guide the transformation of its platform-wide data foundation so that its products, data science and agents can deliver category-leading capabilities. The role designs, implements and optimizes robust cloud-based data lakehouse infrastructure and operational frameworks, and is expected to be hands-on, guiding and mentoring the team.

Key responsibilities

• Design and manage AWS data services: Lake Formation, Glue (ETL, catalogue, schema registry), Athena, and at least one of EMR or Redshift Serverless
• Work with open table formats such as S3 Tables, Apache Iceberg or Delta Lake, including partition, schema evolution, time travel and compaction
• Build production streaming pipelines with Kinesis Data Streams or MSK, handling exactly-once semantics, windowing, late-arriving data and backpressure
• Define infrastructure as code with AWS CDK (TypeScript) or CloudFormation, and set up CI/CD for data pipelines (GitHub Actions, some Terraform)
• Design dimensional models, event schemas and slowly changing dimensions, and implement column-level security, row-level filtering or tag-based access control
• Mentor and lead junior and mid-level engineers, and partner with product management and security teams

Required profile

• 10+ years in data engineering roles, with significant experience in SaaS and multi-tenant data platforms
• Proven track record of mentoring team members on data platform projects
• Strong understanding of AWS services (VPC, IAM, EC2, S3, RDS, Lambda, EKS, WAF, CloudTrail) and multi-account management with AWS Control Tower
• Good knowledge of IAM, KMS, encryption standards, NIST and other security compliance frameworks
• Excellent verbal and written communication, able to explain complex technical concepts to diverse stakeholders

Required skills

• Expert knowledge of S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, Redshift Serverless and EventBridge
• Docker, Kubernetes, Helm, ArgoCD and GitHub Actions
• AWS CDK (TypeScript preferred) and CloudFormation
• OpenTelemetry, Prometheus, Grafana, CloudWatch and CloudTrail
• Python or PySpark/Scala for ETL, feature extraction and data quality
• TypeScript and Bash scripting and automation

Working is on average a minimum of three days per week from the office, with flexibility. Applications close on 15 December 2026.