AWS Data Engineer Manager
About the role
Protiviti is looking for an AWS Data Engineering Manager to join our growing Infrastructure, Cloud, and Security Engineering team. This role will lead the design and delivery of scalable, secure, and reliable data platforms and pipelines on AWS for clients across multiple industries. The position is based in Dallas with additional locations in Atlanta, Austin, Charlotte, Chicago, Denver, Houston, Miami, Orlando, Philadelphia, Phoenix, and Tampa.
Responsibilities
- Partner with clients to translate complex business and data requirements into practical AWS data solutions.
- Lead significant data engineering workstreams and guide delivery teams.
- Remain actively involved in architecture, design, and technical decision‑making.
- Develop trusted client relationships.
- Mentor Consultants and Senior Consultants.
- Contribute to proposals and help expand Protiviti’s AWS data engineering capabilities.
- Lead the design and delivery of scalable, secure, and reliable data platforms and pipelines on AWS.
Requirements
Success in this role requires the ability to solve complex data problems, balance hands‑on technical depth with project leadership, client advisory, and team development, work with ambiguous requirements and messy enterprise data, communicate complex technical concepts clearly to engineers, business stakeholders, and executives, promote a positive team culture with accountability, collaboration, and open communication, stay current with AWS data engineering trends and services, and identify practical opportunities to improve data reliability, accessibility, performance, and cost.
Skills
- Data ingestion from diverse formats (parquet, Excel, CSV, EDI, email attachments, PDF)
- ETL pipeline design (AWS Glue, Lambda, or Step Functions)
- SQL and data modeling (building the agent knowledge base from JDE extracts, contract records, spend data)
- Data quality profiling and validation (Phase 0 scorecard deliverable)
- Familiarity with procurement data structures (PO lines, item master, vendor master, contract terms) – can learn on the job but needs to be comfortable with messy enterprise data
- S3, Athena, or DuckDB for ad‑hoc analysis