Overview

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 (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