Senior Data Platform Engineer

We are seeking a Senior Data Platform Engineer to help define, build, and operate the Enterprise Data Platform (EDP), a centralized, governed, and scalable data foundation that enables enterprise analytics and accelerates insight delivery. This role contributes to the end-to-end data platform capability as a strategic enterprise asset, supporting the design and execution of a modern AWS native lakehouse platform while applying strong technical expertise and collaborating within a federated data model that supports domain ownership and centralized governance.

Responsibilities

Contribute to the enterprise data platform strategy and roadmap Design and evolve a modern AWS native lakehouse architecture Establish scalable, reusable data platform patterns and standards Support migration from legacy Microsoft based data platforms Apply and refine the federated data operating model, including domain responsibilities and data product standards Support delivery and ongoing operation of the data platform Develop 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 Support tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing Requirements 3+ years of experience in data engineering, data platforms, or related fields Hands-on expertise in AWS data ecosystem services such as S3, Glue, and Lake Formation Proficiency in AWS Data.

Zone, IAM, and query engines such as Athena or Redshift Experience designing and implementing lakehouse or modern data platform architectures Expertise in data ingestion, ETL/ELT pipelines, and orchestration frameworks Understanding of data governance, security, and access control models Experience with enterprise data cataloging and metadata management English proficiency at B2 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