AWS Data Engineer Manager

Protiviti•Dallas, TX

1d•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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 but not required.
AWS Certified Solutions Architect – Professional
AWS Certified Security – Specialty

Responsibilities

Lead the design and delivery of scalable, secure, and reliable data platforms and pipelines on AWS.
Partner with clients to translate complex business and data requirements into practical AWS data solutions.
Lead significant data engineering workstreams.
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.
Help expand Protiviti’s AWS data engineering capabilities.
Identify practical opportunities to improve data reliability, accessibility, performance, and cost.
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.
Create well-scoped follow-on work that addresses client data needs and produces measurable outcomes.
Design and implement enterprise data platforms and pipelines on AWS.
Ingest data from diverse enterprise sources and formats, including databases, APIs, SaaS platforms, flat files, and unstructured content.
Implement data quality, observability, reconciliation, metadata, cataloging, lineage, and governance controls.
Design and implement data solutions using AWS security concepts, including IAM, encryption, network access, secrets management, and least-privilege design.
Produce clean outbound files and integrations for enterprise applications such as JDE or Oracle, including Oracle FBDI where applicable.
Lead complex technical engagements involving multiple data sources, workstreams, or engineering teams.
Estimate, plan, and structure data engineering engagements and manage technical risks and dependencies.
Facilitate client discussions and manage stakeholder relationships.

Benefits

medical, dental, and vision coverages
FSA and HSA healthcare accounts
life and accident insurance
adoption and fertility assistance
paid parental leave up to 10 weeks
short/long term disability
company 401(k) savings and investment plan with an employer match of 50% on the first 6% of your contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time
up to 20 days of CTO per calendar year for new hires
up to 11 paid holidays each calendar year