Define enterprise data and AI architecture roadmap aligned with long-term goals.
Lead strategic architecture, governance, and hands-on problem solving.
Drive autonomous, high-excellence engineering culture; Spin culture ambassador.
Shape data ecosystem with scalable data lakes, pipelines, and ML infra.
Mentor senior engineers and collaborate with executives on data strategy.

🎯 Requirements

7+ years in Data Architecture, Enterprise Data Engineering, or AI Systems Architecture.
Led enterprise data architecture transformations at scale.
Deep data modeling, governance, and data quality practices.
Experience with multi-cloud platforms: AWS/Azure/GCP, Databricks, Spark, Delta Lake.
Oracle to AWS Aurora migrations; strong SQL and data migration skills.
Real-time streaming (Kinesis/Kafka) and MLOps/Data Mesh.

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