Technical Project Manager
About The Position
We’re looking for a hands-on Technical Lead who lives and breathes AWS data engineering and modern AI. You’ll architect, design, and deliver cutting‑edge data + AI solutions while guiding a sharp team of engineers. If Glue jobs, PySpark magic, serverless wizardry, Python scripts and AI/ML operationalization excite you—you’ll feel right at home. What You’ll Own & Lead: Architecture & Delivery 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. Hands-on Engineering 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. AI/ML Enablement 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. Quality, Security & Reliability Champion testing, data quality, observability, and lineage. Enforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenization. Leadership & Collaboration Mentor engineers, lead sprints, and elevate the team’s technical bar. Work closely with Product, Security, and Architecture to turn ideas into reality.
Requirements
- 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
Responsibilities
- Architecture & Delivery 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
