Lead Data Platform Engineer

We are looking for aLead 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 DataZone, 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