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Define and evolve the architecture of EDP's enterprise data ecosystem - enabling analytics, AI, and digital transformation at scale. Design future-proof, secure, and interoperable data platforms aligned with EDP's Data & Analytics Reference Architecture and data governance framework.
Job Responsibility:
Design and maintain EDP's enterprise-wide data platform reference architecture
Lead the adoption of cloud solutions with modern data lakehouse architectures and integration with business data domains
Define reference models and standards ensuring interoperability and compliance
Collaborate with IT, cybersecurity, and business teams to align architecture with enterprise strategy
Evaluate and adopt emerging technologies (e.g., Databricks, Snowflake, Microsoft Fabric, Kafka)
Drive architectural governance, performance optimization, and platform security
Mentor engineering teams and promote best practices in data solutions design and operations
Requirements:
Degree, Master's, or Doctorate in engineering or related field
5+ years in data architecture, platform engineering, or solution design
Proven experience with cloud-native data ecosystems (Azure, AWS, GCP)
Strong background in Databricks, Spark, Data Factory and data modeling
Solid understanding of data governance, lineage, and security (GDPR)
Skilled in CI/CD, infrastructure-as-code (Terraform/Bicep), and DevOps for data
Nice to have:
Experience with data mesh, ML Ops, and FinOps
Certifications such as Azure Solutions Architect or Databricks Certified Data Architect
Excellent autonomy, communication and collaboration abilities
What we offer:
Positive and innovative work environment that promotes collaboration and agile decision-making
Flexible, healthy, and inclusive workplace with a range of attractive benefits
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