Technical Project Manager

Role: Technical Project Manager - AWS Location: Fort Mill, SC/New York, NY/Austin, TXExperience: 13+ years Mode: Hybrid (3 days WFO)Duration: Full timeAbout the RoleWe'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 & DeliveryDrive end‑to‑end architecture for ingestion, transformation, analytics, and AI‑powered data productsSet the standards, patterns, and roadmaps that shape our data futureHands-on EngineeringBuild high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySparkCraft serverless data services with Lambda, API Gateway & Step FunctionsTune Athena, optimize S3 layouts, and lead complex data migrations like a proAI/ML EnablementBring AI into real products: RAG pipelines, embeddings, inference endpoints, and morePartner with Data Scientists & ML Engineers to operationalize models with MLOps best practicesQuality, Security & ReliabilityChampion testing, data quality, observability, and lineageEnforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenizationLeadership & CollaborationMentor engineers, lead sprints, and elevate the team's technical barWork closely with Product, Security, and Architecture to turn ideas into realityWhat We Are Looking For13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisionsDeep, hands‑on expertise across AWS Data services & AI:AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data CatalogPython for data engineering (PySpark) and service developmentETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modelingData migration strategies, validation frameworks, and rollback planningData lake architecture: Parquet, partitioning, with familiarity in IcebergIaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps)Hands‑on experience with modern AI technologies and emerging AI tooling