Experteer Overview

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In this role you will lead the design, implementation, and optimization of a cloud-based data lakehouse to empower products, data science, and agents. You will be one of the senior engineers, providing hands-on work and mentoring to the team while aligning data infrastructure with security and product goals. You’ll drive governance, scalability, and reliability across the data foundation, leveraging cutting-edge AWS technologies and modern data tooling. The mission focuses on transforming life sciences data to enable faster, more impactful outcomes.

Compensaciones / Ventajas
• Design and manage AWS data services including Lake Formation, Glue, Athena, and EMR/Redshift Serverless to build an integrated data foundation
• Work with Open Table Formats (S3 Tables, Apache Iceberg preferred, or Delta Lake) focusing on partition, schema evolution, time travel and compaction
• Build and operate streaming pipelines with Kinesis Data Streams or MSK,



ensuring exactly-once semantics and handling late-arriving data
• Define infrastructure as code (AWS CDK TS or CloudFormation); enable CI/CD for data pipelines with GitHub Actions and Terraform
• Model data with dimensional schemas and slowly changing dimensions; balance normalization vs denormalization for access patterns
• Implement governance and security including column-level and row-level controls and policy-driven data classification
• Develop ETL logic and data quality checks using Python or Spark; utilize PySpark or Spark Scala for distributed transforms
• Foster AI/ML exposure and practical tooling adoption; provide mentorship and technical leadership across tooling and automation
• Collaborate with product management and security to align data strategies with business goals and cohesive workflows
• Mentor junior and mid-level engineers and promote a learning-oriented, colla

📌 Data Foundation Engineering Lead (Barcelona)
🏢 AstraZeneca
📍 Barcelona