Technical Project Manager - job 1 of 2
- Drive end‑to‑end architecture for ingestion, transformation, analytics, and AI‑powered data products.
- Set the standards, patterns, and roadmaps that shape our data future.
- Build high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySpark.
- Craft serverless data services with Lambda, API Gateway & Step Functions.
- Tune Athena, optimize S3 layouts, and lead complex data migrations like a pro.
- Bring AI into real products: RAG pipelines, embeddings, inference endpoints, and more.
- Partner with Data Scientists & ML Engineers to operationalize models with MLOps best practices.
- Champion testing, data quality, observability, and lineage.
- Enforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenization.
- Mentor engineers, lead sprints, and elevate the team’s technical bar.
- Work closely with Product, Security, and Architecture to turn ideas into reality.
- 13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisions.
- Deep, hands‑on expertise across AWS Data services & AI:
- AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data Catalog § Python for data engineering (PySpark) and service development
- ETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modeling § Data migration strategies, validation frameworks, and rollback planning
- Data lake architecture: Parquet, partitioning, with familiarity in Iceberg
- IaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps)
- Hands‑on experience with modern AI technologies and emerging AI tooling
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