Description

Job Summary

We are seeking a Senior Fabric Data Engineer with strong hands-on Microsoft Fabric experience to support migration and modernization of learning-platform data from Saba and Cura into the Cornerstone Galaxy ecosystem. This role will focus on building scalable ingestion, transformation, business-rule, and curated data layers to enable analytics, compliance reporting, skills insights, and downstream integrations.

Work You'll Do

• Design and implement robust data solutions using Microsoft Fabric, including OneLake, Fabric Pipelines, Lakehouse, Warehouse, and Notebooks.
• Build and optimize scalable ingestion and transformation pipelines using PySpark, Python, and SQL across structured and unstructured datasets.
• Migrate and harmonize data from legacy source systems including Saba, Cura, and related enterprise platforms.
• Develop API-driven and scheduled workflows to ingest data from internal and external systems and support downstream processing.
• Implement business rules for learning history, completion status, certifications, compliance, skills, and learner profile data.
• Build curated and consumption-ready datasets/models for analytics, dashboards, and operational reporting.
• Perform SQL development and tuning for reporting, analytics, and downstream consumption.
• Implement automated data quality checks, reconciliations, monitoring, exception handling, and audit logging.
• Enforce secure access controls using Azure AD, RBAC, managed identities, and secure connectivity patterns.
• Support CI/CD, code promotion, release management, and operational monitoring in Agile delivery.

Required Skills & Qualifications

• 7+ years of experience in data engineering and enterprise data integration.
• Strong hands-on experience with Microsoft Fabric and related Azure data services.
• Strong experience with PySpark, SparkSQL, Python, and SQL/T-SQL.
• Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms.
• Experience with curated data layers, data modeling, and analytics-ready datasets.
• Experience tuning data pipelines for scale, resiliency, and cost optimization.
• Working knowledge of security, access controls, and data governance practices.
• Experience with Azure DevOps and Git-based deployment automation.
• Strong analytical, troubleshooting, and communication skills.

Preferred Skills

• Experience with learning, HR, or talent data domains.
• Familiarity with ADF, Synapse, Databricks, Azure Functions, or Logic Apps.
• Exposure to AI tools such as GitHub Copilot and Claude to accelerate engineering productivity and solution design.
• Experience with data governance tooling such as Purview.
• Exposure to AI/ML-ready data preparation and feature engineering practices.

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field

Key Skills

Education

Any Graduate