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People Data Engineer
Bertoni Solutions. Design, build, and maintain scalable people-data models within the enterprise data warehouse .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and architecture, with a strong focus on building scalable data models, production-grade data pipelines, and implementing data governance practices. Proficient in SQL, Python, and Azure Cloud technologies to support AI and analytics initiatives.
Highest-signal resume keywords
Data EngineeringSQLAzure CloudData ModelingHR / People Data Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ArchitectureETL/ELTAPIsData Quality ControlsProduction SupportData LineageAutomated TestingVersion ControlData IntegrationData Governance
Soft Skills
Proactive Problem SolvingTechnical DocumentationCollaboration
Tools & Technologies
Azure Data FactoryAzure SynapseBlob StorageData LakeDatabricksWorkdayBusiness Intelligence Tools
Industry Keywords
Enterprise Data WarehouseAI/ML Data EnablementSensitive-Data GovernanceData ReadinessAnalytics Products
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable people-data models within the enterprise data warehouse
- Translate approved business and product requirements into technical data specifications, structures, and reusable data assets
- Establish architecture patterns for dashboards, analytics products, scorecards, and approved AI use cases
- Partner with the Enterprise Data Team on source-data onboarding, engineering dependencies, release planning, and production implementation
- Maintain technical documentation for data models, integrations, transformation logic, dependencies, and platform components
- Identify and recommend architecture, platform, and infrastructure investments for an AI-ready People Data platform
- Establish automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts
- Implement and maintain end-to-end data lineage
- Define and own production support, incident management, and escalation practices
- Monitor platform health, pipeline performance, refresh reliability, and recurring failure patterns
- Implement technical controls for access, privacy, confidentiality, retention, and sensitive-data handling
- Partner with governance, Privacy, Legal, Security, HR Technology, and Enterprise Data stakeholders
- Build and maintain the governed data foundation for approved AI, machine learning, and advanced analytics use cases
- Assess data readiness, reliability, documentation, representation, accessibility, and controls for AI use cases
- Support the People Data AI Control Tower and monitoring and traceability capabilities
- Own the AI-readiness roadmap for the people data lake and drive execution of technical solutions
- Serve as technical authority for the People Data platform infrastructure roadmap
Requirements
What you’ll need- 5+ years of progressive experience in data engineering, analytics engineering, or data architecture
- Experience building production-grade data pipelines, models, integrations, and quality controls
- Strong HR / People Data experience
- Bachelor’s degree in computer science, data engineering, information systems, or a related field—or equivalent practical experience
- SQL, Python, data modeling, ETL/ELT, APIs
- Azure Cloud, including ADF, Synapse, Blob Storage, and Data Lake
- Version control and automated testing
- Databricks
- Ability to proactively identify infrastructure and architecture needs and create a forward-looking technical roadmap
- Advanced written and spoken English fluency (B2 or C1/C2)
- Experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models preferred
- Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement strongly preferred
- Must use own laptop or PC
- Independent contractor arrangement
Benefits
Comp & perks- 100% remote work
- Renewable 9-month contract based on performance
- Full-time schedule, Monday to Friday, 9 AM to 5 PM EST
- Note: No paid holidays or vacation, tax deductions, or insurance
- Contractors may work remotely using their own laptop or PC