Sr. Fabric Data Engineer

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. Work Environment • Ability to work independently and proactively in a fast-paced delivery environment. • Comfortable operating in remote or hybrid teams with cross-functional coordination.