People Data Engineer

This is a fully remote position, open to applicants in Mexico, +1 more country.

📋 Description

• Develop and sustain scalable people-data models within the enterprise data warehouse.

• Convert approved business definitions and product requirements into technical data specifications, structures, and reusable data assets.

• Create architecture 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.

• Keep technical documentation up to date for data models, integrations, transformation logic, dependencies, and platform components.

• Identify and propose architecture, platform, and infrastructure investments for an AI-ready People Data platform.

• Set up automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts.

• Execute and manage end-to-end data lineage.

• Define and oversee production support, incident management, and escalation protocols.

• Track platform health, pipeline performance, refresh reliability, and recurring failure trends.

• Establish technical controls for access, privacy, confidentiality, retention, and sensitive-data management.

• Collaborate with governance, privacy, legal, security, HR technology, and enterprise data stakeholders.

• Build and uphold the governed data foundation for approved AI, machine learning, and advanced analytics use cases.

• Assist in the technical design and implementation of the People Data AI Control Tower.

• Own the AI-readiness roadmap for the people data lake and lead technical delivery.

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

⛳️ Requirements

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

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

• Solid experience in HR / People Data.

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

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

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

• Familiarity with version control and automated testing.

• Knowledge of Databricks.

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

• Experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models is preferred.

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

• Strong preference for experience with Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement.

• Contractors must provide their own laptop or PC.

• Must be available Monday to Friday, 9 AM to 5 PM EST, for 40 hours per week.

🏝️ Benefits

• 100% remote opportunity.

• Full-time schedule.

• Contract renewable based on performance.

• No paid holidays or vacation, tax deductions, or insurance (explicitly stated contractor terms).

• Opportunity to collaborate with a multinational team.

• Utilize Swiss-rooted organizational practices and Latin American development expertise.