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 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.

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 and mentor Consultants and Senior Consultants.
• Contribute to proposals and help expand Protiviti’s AWS data engineering capabilities.
• Successfully lead architecture and delivery outcomes for multiple significant AWS data engineering engagements.
• Become a trusted advisor to client data, analytics, and technology leaders.
• Consistently convert ambiguous requirements into implementable data architectures, backlogs, and delivery plans.
• Improve the quality and consistency of data engineering through reusable standards, patterns, and accelerators.
• Develop team capability through coaching, technical reviews, and knowledge sharing.
• Help create well‑scoped follow‑on work that addresses client data needs and produces measurable outcomes.

Requirements

• Enjoy solving complex data problems and building production‑ready solutions on AWS.
• Balance hands‑on technical depth with project leadership, client advisory, and team development.
• Be comfortable working 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 motivated to learn and stay current with AWS data engineering trends and services.
• Identify practical opportunities to improve data reliability, accessibility, performance, and cost.

Qualifications

Bachelor’s degree in a relevant discipline (e.g., MIS, IS, Comp Sci., etc.). 5+ years working in professional services or industry. Professional Certification Required: AWS Certified Solutions Architect – Associate. Preferred: AWS Certified Solutions Architect – Professional & AWS Certified Security – Specialty.

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
• 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 managed Kafka
• Advanced SQL skills and strong experience with data modeling, query optimization, and data warehouse or lakehouse concepts
• Proficiency in Python or a comparable programming language used for data engineering
• Experience ingesting data from diverse enterprise sources and formats, including databases, APIs, SaaS platforms, flat files, and unstructured content
• Experience implementing data quality, observability, reconciliation, metadata, cataloging, lineage, and governance controls
• Knowledge of AWS security concepts relevant to data platforms, including IAM, encryption, network access, secrets management, and least‑privilege design
• Experience with source control, CI/CD, automated testing, infrastructure as code, and production deployment practices for data solutions
• Ability to produce clean outbound files and integrations for enterprise applications such as JDE or Oracle, including Oracle FBDI where applicable
• Experience leading complex technical engagements involving multiple data sources, workstreams, or engineering teams
• Ability to estimate, plan, and structure data engineering engagements and manage technical risks and dependencies
• Strong client advisory, facilitation, executive communication, and stakeholder‑management skills
• Experience in consulting, professional services, or systems integration is highly preferred
• Familiarity with procurement data structures such as purchase‑order lines, item masters, vendor masters, spend data, and contract terms is helpful