About this opportunity
The Value Maximizer lists this Technical Project Manager opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role: Technical Project Manager - AWS Location: Fort Mill, SC/New York, NY/Austin, TX Experience: 13+ years Mode: Hybrid (3 days WFO) Duration: Full time
About the Role
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
What We Are Looking For
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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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.