Lead Data Platform Engineer

We are looking for a Lead Data Platform Engineer to build and run an enterprise AWS native lakehouse platform that powers governed analytics through a centralized Enterprise Data Platform (EDP). In this role, you will shape platform patterns, enable domain-owned data products with centralized governance, and guide migration from Microsoft-based platforms while improving reliability, observability, and cost.

Responsibilities

Contribute to the enterprise data platform strategy and roadmap Architect and evolve a modern AWS native lakehouse architecture Define scalable, reusable data platform patterns and standards Assist migration from legacy Microsoft based data platforms Apply and improve the federated data operating model, including domain responsibilities and data product standards Enable delivery and ongoing operation of the data platform Build data ingestion pipelines and transformation frameworks Ensure platform reliability, performance, and scalability Implement monitoring, observability, and operational controls Optimize platform cost efficiency across storage, compute, and data processing workloads Apply and enforce data governance standards, policies, and controls Guide tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing Requirements Proven background with 5+ years of experience in data engineering, data platforms, or related fields Hands-on experience with AWS data ecosystem services such as S3, Glue, and Lake Formation Working knowledge of Amazon Data.

Zone, IAM, and query engines such as Athena or Redshift Demonstrated expertise designing and implementing lakehouse or modern data platform architectures Practical experience building data ingestion, ETL/ELT pipelines, and orchestration frameworks Strong understanding of data governance, security, and access control models Solid exposure to enterprise data cataloging and metadata management English proficiency at B2 (Upper-Intermediate) level or higher Nice to have Experience migrating from Microsoft-centric data platforms such as SQL Server, SSIS, and Azure Familiarity with domain-oriented or data mesh operating models Experience supporting analytics tools such as Power BI Knowledge of data sharing and cross-domain data product models Exposure to agentic AI capabilities and data access patterns for AI workloads