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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 Platform DesignData Engineering LeadershipAdvanced SQL and Data ModelingPython Programming for Data Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS Data SolutionsData Pipeline ImplementationData Quality ControlsData GovernanceSQL Query OptimizationData Ingestion TechniquesData Architecture DesignInfrastructure as CodeCI/CD PracticesData Warehouse Concepts
Soft Skills
Client AdvisoryExecutive CommunicationStakeholder ManagementMentoringFacilitation
Tools & Technologies
AWS S3AWS GlueAWS LambdaAWS Step FunctionsAWS AthenaAWS RedshiftEMRSparkPySparkKinesis
Certifications & Qualifications
AWS Certified Solutions Architect – Associate
Industry Keywords
Professional ServicesData EngineeringSystems IntegrationData AnalyticsProcurement Data Structures
Tech Stack
Tools & technologiesAmazon RedshiftAWSKafkaOraclePySparkPythonSparkSQL
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 and remain involved in architecture, design, and technical decision-making
- Develop trusted client relationships
- Mentor Consultants and Senior Consultants
- Contribute to proposals and 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 and measurable outcomes
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 diverse enterprise data 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 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 is highly preferred
- Familiarity with procurement data structures is helpful but not required
- Successful completion of a background check required for employment
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
- Flexible environment
- Professional development through coaching, technical reviews, and knowledge sharing