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Metro location and in-demand data engineering skills with a mid-tier brand produce moderate competition.
Core cloud data platform skills are transferable, though financial/regulatory experience is preferred.
Mandatory 8+ years plus specific cloud, data lake, governance, and DevOps tooling enforces strict screening.
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Lead design, build, and modernization of ingestion, integration, and API services for cloud data ecosystem on AWS.
Architect and migrate legacy SQL/SSIS/ETL pipelines to scalable, governed, cloud-native pipelines using AWS services.
Manage and develop a high performing data engineering team while collaborating cross-functionally to ensure data reliability and adherence to governance standards.
8+ years of experience in data engineering, software engineering, and/or cloud engineering.
Bachelor’s degree in Data Science, Computer Science, or related field (Master’s preferred).
Hands-on experience with AWS data lake technologies (S3, Glue, Lake Formation), pipeline orchestration tools (Airflow, Step Functions), programming in Python and/or SQL, and DevOps tools like Terraform/CloudFormation.
Proven leadership experience managing and developing high performing teams.
Strong architectural instincts with deep hands-on expertise in cloud-native data engineering on AWS.
Experience modernizing legacy data pipelines and knowledge of data governance/catalog tools and federated data product models.
Ability to lead teams and drive engineering excellence in regulated or large-scale financial services environments.