People Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, construct, and uphold scalable people-data models within the enterprise data warehouse.

• Convert approved business and product requirements into technical data specifications, database designs, and reusable data assets.

• Establish architectural patterns for dashboards, analytics products, scorecards, and sanctioned AI use cases.

• Collaborate 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 suggest investments in architecture, platform, and infrastructure for an AI-ready People Data platform.

• Develop automated data quality monitoring, validation rules, reconciliation controls, and exception alerts.

• Implement and sustain end-to-end data lineage.

• Define and manage production support, incident management, and escalation procedures.

• Monitor platform health, pipeline performance, refresh reliability, and recurring failure patterns.

• Enforce technical controls for access, privacy, confidentiality, retention, and handling of sensitive data.

• Construct and maintain the governed people-data foundation for approved AI, machine learning, and advanced analytics use cases.

• Evaluate data readiness, reliability, representativeness, documentation, accessibility, and controls for AI use cases.

• Support the People Data AI Control Tower and its monitoring and traceability capabilities.

• Own and implement the AI-readiness roadmap for the people data lake.

• Act as the technical authority for the People Data platform infrastructure roadmap.

⛳️ Requirements

• Over 5 years of progressive experience in data engineering, analytics engineering, or data architecture.

• Proven experience in building production-grade data pipelines, models, integrations, and quality controls.

• Strong background in HR / People Data.

• Bachelor’s degree in computer science, data engineering, information systems, or a related field—or equivalent practical experience.

• Proficiency in SQL, Python, data modeling, ETL/ELT, and APIs.

• Familiarity with Azure Cloud, including ADF, Synapse, Blob Storage, and Data Lake.

• Experience with version control and automated testing.

• Experience using Databricks.

• Ability to proactively identify infrastructure and architecture needs and develop a forward-looking technical roadmap.

• Preferred experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models.

• Advanced written and spoken English fluency (B2 or C1/C2).

• Strongly preferred experience with Workday, enterprise data warehouses, sensitive data governance, or AI/ML data enablement.

🏝️ Benefits

• 100% remote work.

• Full-time schedule, Monday to Friday, 9 AM to 5 PM EST.

• Renewable 9-month contract based on performance.

• No paid holidays or vacation, tax deductions, or insurance (explicitly excluded).

• Contractors may use their own laptop or PC.