[Remote] Principal Data Engineer/Architecht
Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking a Principal Data Engineer to lead the design, development, and optimization of a modern People Data ecosystem. This role will focus on building scalable data architecture and enabling enterprise workforce analytics while collaborating with various teams to deliver impactful data solutions.
Responsibilities
- Own and lead the implementation, configuration, and support of Oracle Fusion Data Intelligence (FDI), including validation, security alignment, and HR analytics enablement
- Partner with HRIS, IT, Oracle administrators, analytics teams, vendors, and business stakeholders to deliver enterprise-grade People Data solutions
- Define and implement scalable data architecture across Oracle Fusion HCM, FDI, Databricks, Power BI, and related reporting platforms
- Design data models, semantic layers, source-to-target mappings, lineage documentation, and enterprise data standards
- Develop, optimize, and maintain cloud-based data pipelines using Databricks, PySpark, SQL, Delta Lake, and related technologies
- Drive data quality initiatives through monitoring, troubleshooting, governance processes, and operational excellence
- Ensure secure handling of sensitive workforce data through role-based access controls, auditability, metadata management, and PII protection
- Mentor engineers and analysts while promoting best practices in data architecture, engineering, and platform governance
Skills
- 12+ years of experience in data engineering, data architecture, analytics engineering, or related technical data disciplines
- Experience with Oracle Fusion Data Intelligence (FDI), Oracle Fusion Analytics, Oracle Analytics Cloud, Oracle Autonomous Data Warehouse, or similar enterprise analytics platforms
- Strong experience working with Oracle Fusion HCM data, HR reporting, workforce analytics, or people-data domains
- Advanced expertise in Databricks, PySpark, SQL, Delta Lake, Unity Catalog, and cloud data engineering frameworks
- Experience designing enterprise data models, semantic layers, governed metrics, and reporting-ready datasets
- Proven ability to collaborate effectively with technical teams, business leaders, vendors, and governance stakeholders
- Certifications in Oracle Analytics, Oracle FDI, OCI, Databricks, Azure Data Engineering, or related technologies
- Experience supporting workforce analytics, HR data governance, payroll, benefits, talent management, or compliance reporting
- Knowledge of modern engineering practices and tools, including CI/CD, Git, Azure DevOps, Terraform, and dbt
- Experience supporting AI/ML initiatives, predictive analytics, or advanced analytics solutions within governed enterprise data environments
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