Overview
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As a Data Engineering Architect in our Barcelona-based team, you will shape the platform’s data foundation to empower products, data science, and agents. You will design, implement, and optimize cloud-based data systems in the lakehouse, catalog, and pipelines, ensuring reliability and rapid innovation. You’ll be a senior hands-on mentor, sharing best practices across the company and guiding data architecture decisions. This role blends cutting-edge technology with a mission to advance life sciences and impact billions of lives.
Responsabilidades
Infrastructure design & management for cloud data platforms
Hands-on work with AWS data services (Lake Formation, Glue, Athena, EMR/Redshift Serverless) and production-grade data formats (S3 Tables, Iceberg/Delta Lake)
Build and maintain streaming pipelines (Kinesis/MSK) with exactly-once semantics, windowing, late-arriving data, and backpressure
Define infrastructure as code (AWS CDK/TypeScript or CloudFormation) and CI/CD for data pipelines (GitHub Actions, Terraform)
Data modeling (dimensional models, event schemas, slowly changing dimensions) and architecture decisions on normalization vs denormalization
Governance and security (column-level and row-level access controls, policy-driven data classification)
ETL/processing with Python or Spark (PySpark/Scala)



for data quality and feature extraction
Exposure to AI/ML tools and frameworks as applicable
Mentorship & leadership of junior/mid-level engineers; cross-functional collaboration with product management and security
Collaboration with cross-functional teams to align data foundation with business goals and workflows
Requisitos principales
10+ years in data engineering and data pattern roles; SaaS/multi-tenant data platforms experience; mentoring track record
Strong AWS expertise (VPC, IAM, EC2, S3, RDS, Lambda, EKS, WAF, CloudTrail)
Expert knowledge of data products on AWS (S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, Redshift Serverless, EventBridge)
Containerization & orchestration xqbhyrx (Docker, Kubernetes, Helm)
CI/CD proficiency (ArgoCD, GitHub Actions)
IaC experience with AWS CDK (TypeScript) and CloudFormation
Security knowledge (IAM, KMS, encryption, WAF, compliance frameworks like NIST)
Monitoring/alerting (OpenTelemetry, Prometheus, Grafana, CloudWatch, CloudTrail)
Data & ETL pipelines expertise with AWS Glue, Kinesis, Managed Kafka
Programming & automation (TypeScript, Bash)
Multi-account AWS management (Control Tower)
Strong communication skills to explain complex concepts to stakeholders
Mentorship and leadership
Collaborative mindset
Organized and adaptable
AWS CDK (TypeScript)
CloudFormation
GitHub Actions

📌 Data Engineering Architect - Evinova (Barcelona)
🏢 AstraZeneca
📍 Barcelona