AWS Data Engineer Manager
ProtivitiJOB REQUISITION AWS Data Engineer Manager LOCATION DALLAS ADDITIONAL LOCATION(S) ATLANTA - PEACHTREE RD, AUSTIN, CHARLOTTE, CHICAGO, DENVER, HOUSTON, MIAMI, ORLANDO, PHILADELPHIA, PHOENIX, TAMPA JOB DESCRIPTION You Belong Here The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean into our mission: We Care. We Collaborate. We Deliver. At every level, we champion leaders who live our values of integrity, inclusion, innovation, and commitment to success . Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm. Where We Need You 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. What You Can Expect As a Manager, you will partner with clients to translate complex business and data requirements into practical AWS data solutions. You will lead significant data engineering workstreams, guide delivery teams, and remain actively involved in architecture, design, and technical decision-making. You will also develop trusted client relationships, mentor Consultants and Senior Consultants, contribute to proposals, and help expand Protiviti’s AWS data engineering capabilities. What Will Help You Be Successful You enjoy solving complex data problems and building production-ready solutions on AWS. You can balance hands-on technical depth with project leadership, client advisory, and team development. You are comfortable working with ambiguous requirements and messy enterprise data. You communicate complex technical concepts clearly to engineers, business stakeholders, and executives. You promote a positive team culture with accountability, collaboration, and open communication. You are motivated to learn and stay current with AWS data engineering trends and services. You can identify practical opportunities to improve data reliability, accessibility, performance, and cost. What Success Looks Like in the First Year Successfully leads architecture and delivery outcomes for multiple significant AWS data engineering engagements. Becomes a trusted advisor to client data, analytics, and technology leaders. Consistently converts ambiguous requirements into implementable data architectures, backlogs, and delivery plans. Improves the quality and consistency of data engineering through reusable standards, patterns, and accelerators. Develops team capability through coaching, technical reviews, and knowledge sharing. Helps create well-scoped follow-on work that addresses client data needs and produces measurable outcomes. Do Your Talents Include the Following? Skills Required: 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 Ability to produce clean export files (JDE import format, Oracle FBDI) Strong experience designing and implementing enterprise data platforms and pipelines on AWS. Hands-on expertise with core AWS data services such as S3, Glue, Lambda, Step Functions, Athena, and Redshift. Experience with one or more large-scale or streaming technologies such as EMR, Spark or PySpark, Kinesis, or manage…