Senior Data Engineer - People Technology

What You Will Do

• Infrastructure & GCP Architecture: Provision and manage our GCP environment (BigQuery) using Infrastructure-as-Code (Terraform). You will define the project structure and governance.
• Modern Data Stack Ownership: Own the full pipeline—configure CData to sync HRIS/ATS systems into BigQuery, and use dbt to build a clean, modular transformation layer (Staging, Intermediate, and Marts).
• AI Readiness: Collaborate on the data strategy to ensure that all data is clean, versioned, and documented creating a “feature store” ready for future BigQuery ML predictive modeling.
• Governance & Security: Implement strict IAM policies, data masking, and access controls to ensure sensitive HR/PII data is protected.
• Tableau Enablement: Build performant data marts specifically optimized for Tableau to ensure fast load times for the dashboard team.

Experience

• 5–8+ Years of Experience: Proven professional experience in Analytics Engineering, Data Engineering, or a highly technical Data Analyst role.
• “Greenfield” Build Track Record: You have successfully led or been a core contributor to building a data platform from scratch. You understand how to make architectural trade-offs that favor long-term scalability over “quick fixes.”
• Engineering Discipline: 3+ years of hands-on experience with version control (Git/GitHub) and establishing CI/CD pipelines. You treat data transformation as software engineering.

Technical Stack Mastery

• SQL: Expert-level proficiency; comfortable with complex window functions and performance optimization.
• dbt: Strong, demonstrated experience building and testing dbt projects (Jinja, macros, modular modeling).
• GCP/BigQuery: Hands-on experience managing BigQuery project structure, dataset governance, partitioning/clustering, and IAM/security policies.

Domain Fluency

• Ability to translate complex HR business requirements (e.g., Attrition, Headcount, Diversity, Time-to-Fill) into reusable dimensional data models.

Why Join Us?

• Full Architectural Autonomy: You are the “architect” of our data platform. You will make the foundational decisions on schema design, security, and tooling, avoiding the constraints of legacy environments.
• Modern “Gold-Standard” Stack: Work with a premium, future-proof stack (GCP, BigQuery, CData, dbt) that is highly sought after by top-tier data engineers.
• High-Impact Strategic Role: You will be at the intersection of Data and HR, building the platform that helps our leadership understand our most important asset: our people. Your work directly influences how we hire, retain, and develop talent.
• AI/ML Path: We aren’t just building dashboards; we are building an AI-ready foundation. You will play a pivotal role in transitioning our platform from descriptive reporting to predictive modeling, setting a high bar for our technical evolution.
• Culture of Excellence: We value clean code, automated testing, and rigorous documentation. You will work in an environment where technical debt is avoided, not accepted.