AWS Data Engineer Manager

Protiviti

. Lead the design and delivery of scalable, secure, and reliable AWS data platforms and pipelines for clients across multiple industries .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $125,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable AWS data platforms and pipelines, with a strong focus on data quality, governance, and client advisory. Proven ability to lead technical engagements, mentor teams, and translate complex requirements into actionable data solutions.

Highest-signal resume keywords

AWS Certified Solutions Architect – AssociateAWS Data EngineeringETL Pipeline DesignData Quality ImplementationClient Advisory Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS GlueAWS LambdaAWS Step FunctionsAdvanced SQLPythonData ModelingData IngestionData GovernanceKinesisSpark

Soft Skills

Client Relationship ManagementMentoringExecutive CommunicationStakeholder ManagementFacilitation

Tools & Technologies

AWS S3AWS RedshiftAWS EMRJDEOracle FBDICI/CDInfrastructure as CodeAutomated TestingData CatalogingMetadata Management

Certifications & Qualifications

AWS Certified Solutions Architect – Associate

Industry Keywords

Data EngineeringProfessional ServicesSystems IntegrationData Quality ProfilingData Architecture

Tech Stack

Tools & technologies

Amazon RedshiftAWSETLKafkaOraclePySparkPythonSparkSQL

About the role

Key responsibilities & impact

Lead the design and delivery of scalable, secure, and reliable AWS data platforms and pipelines for clients across multiple industries
Translate complex business and data requirements into practical AWS data solutions
Lead significant data engineering workstreams
Guide delivery teams while remaining 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 architecture and delivery outcomes for multiple AWS data engineering engagements
Advise client data, analytics, and technology leaders
Convert ambiguous requirements into implementable data architectures, backlogs, and delivery plans
Improve data engineering quality and consistency through reusable standards, patterns, and accelerators
Develop team capability through coaching, technical reviews, and knowledge sharing
Help create well-scoped follow-on work addressing client data needs
Perform data ingestion from parquet, Excel, CSV, EDI, email attachments, and PDF
Design ETL pipelines using AWS Glue, Lambda, or Step Functions
Build agent knowledge bases from JDE extracts, contract records, and spend data
Conduct data quality profiling and validation
Produce clean export files in JDE import format and Oracle FBDI

Requirements

What you’ll need

Bachelor’s degree in a relevant discipline (e.g., MIS, IS, Comp Sci., etc.)
5+ years working in professional services or industry
Required: AWS Certified Solutions Architect – Associate
Strong experience designing and implementing enterprise data platforms and pipelines on AWS
Hands-on expertise with S3, Glue, Lambda, Step Functions, Athena, and Redshift
Experience with EMR, Spark or PySpark, Kinesis, or managed Kafka
Advanced SQL, data modeling, query optimization, and data warehouse or lakehouse concepts
Proficiency in Python or a comparable programming language used for data engineering
Experience ingesting enterprise data from 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 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 produce clean outbound files and integrations for 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 highly preferred
Familiarity with procurement data structures is helpful but not required
Ability to complete a background check successfully
Protiviti is not registered to hire or employ personnel in West Virginia or Alaska

Benefits

Comp & perks

Annual bonus plan with 12% bonus target opportunity and/or discretionary stock compensation opportunities
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-term and long-term disability
401(k) savings and investment plan with employer match of 50% on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
Up to 11 paid holidays each calendar year
Hybrid work model
Local or out-of-state travel opportunities based on projects and client requests