Protiviti
Protiviti
Protiviti is a global consulting firm that helps organizations address complex challenges across finance, technology, operations, governance, risk management, and internal audit. Its teams combine consulting expertise with data analytics, artificial intelligence, and cybersecurity capabilities to develop practical, tailored solutions for clients across industries. Protiviti’s work is centered on helping organizations adapt to changing business conditions, strengthen performance and resilience, and pursue sustainable growth.

AWS Data Engineering Manager

Lead the delivery of secure AWS data platforms and pipelines for Protiviti clients. Oversee architecture, engineering teams, client advice, and growth of the firm's AWS data practice.

Description

  • Design and deliver secure, scalable AWS data platforms and pipelines for clients across industries.
  • Turn complex business and data needs into practical AWS solutions.
  • Lead major data engineering workstreams.
  • Guide delivery teams and contribute to architecture, design, and technical decisions.
  • Build trusted relationships with clients.
  • Coach and mentor Consultants and Senior Consultants.
  • Support proposals and help grow Protiviti’s AWS data engineering practice.
  • Direct architecture and delivery across multiple AWS data engineering engagements.
  • Advise client leaders in data, analytics, and technology.
  • Turn unclear requirements into actionable architectures, backlogs, and delivery plans.
  • Raise engineering quality and consistency with reusable standards, patterns, and accelerators.
  • Build team skills through coaching, technical reviews, and knowledge sharing.
  • Shape follow-on engagements around client data needs and measurable results.

Requirements

  • Bachelor’s degree in a relevant field such as management information systems, information systems, or computer science.
  • At least five years of experience in professional services or industry.
  • AWS Certified Solutions Architect – Associate certification.
  • Strong background designing and building enterprise data platforms and pipelines on AWS.
  • Hands-on experience with S3, Glue, Lambda, Step Functions, Athena, and Redshift.
  • Experience with EMR, Spark or PySpark, Kinesis, or managed Kafka.
  • Advanced SQL skills and knowledge of data modeling, query optimization, and data warehouse or lakehouse concepts.
  • Proficiency in Python or a comparable data engineering programming language.
  • Experience ingesting varied enterprise data 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, 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.
  • Ability to create clean outbound files and integrations for JDE or Oracle, including Oracle FBDI where applicable.
  • Experience leading complex technical engagements across 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.
  • Consulting, professional services, or systems integration experience is highly preferred.
  • Knowledge of procurement data structures is helpful but not required.
  • Successful completion of an employment background check.

Benefits

  • Annual bonus plan with a 12% target opportunity and/or discretionary stock compensation opportunities.
  • Medical, dental, and vision coverage.
  • Flexible spending and health savings accounts.
  • Life and accident insurance.
  • Adoption and fertility assistance.
  • Up to 10 weeks of paid parental leave.
  • Short-term and long-term disability coverage.
  • 401(k) plan with a 50% employer match on the first 6% of contributions.
  • Choice Time Off for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year.
  • Up to 11 paid holidays each year.
  • Hybrid work model.
  • Flexible work environment.
  • Professional development through coaching, technical reviews, and knowledge sharing.

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