Sr. Fabric Data Engineer

Role : Sr. Fabric Data Engineer Duration : Long term Contact Locations : Newark NJ Hybrid Job description: "Senior Data & Analytics Engineer (Microsoft Fabric & Power BI) Location: Remote / Hybrid Experience: 8–12+ years (with deep hands-on delivery) Domain: Marketing Analytics, Business Intelligence, Data Platforms Role Overview We are seeking a hands-on Senior Data & Analytics Engineer to design, build, and operate scalable Microsoft Fabric–based analytics platforms that power enterprise marketing analytics, customer insights, and business intelligence. This role is not theoretical—you will be deeply involved in data ingestion, transformation, lakehouse modeling, semantic layer design, Power BI optimization, and production-grade pipeline orchestration. You will partner closely with marketing, growth, product, and business stakeholders to translate analytical requirements into governed, high-performance data products. Key Responsibilities Data Platform & Fabric Engineering • Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Data Engineering, Lakehouse). • Build and maintain Fabric Lakehouse architectures (Bronze/Silver/Gold) optimized for marketing and BI use cases. • Implement incremental loads, CDC patterns, and data freshness strategies for large-scale analytical datasets. • Optimize storage formats (Delta/Parquet), partitioning, and performance tuning in Fabric. Data Engineering & Transformation • Develop robust data transformation logic using: PySpark / Spark SQL, SQL-based transformations • Perform data cleansing, standardization, enrichment, and deduplication across multiple marketing and customer data sources. • Implement data quality checks, validation rules, and anomaly detection within pipelines. • Maintain reusable transformation frameworks and shared data assets. Marketing & Business Data Integration • Ingest and model data from marketing and customer platforms such as: Digital analytics (web, app, events), Campaign platforms (email, paid media, CRM, CDPs), Internal business systems (sales, finance, operations) • Create conformed dimensions and fact tables for marketing performance, attribution, funnel analysis, and customer insights. • Enable cross-channel reporting and identity-aware analytics. Power BI & Semantic Modeling • Design and optimize Power BI semantic models (datasets) for enterprise reporting. • Build star schemas, calculation groups, and optimized DAX measures. • Ensure report performance, scalability, and refresh reliability. • Support self-service BI while enforcing enterprise data governance standards. • Collaborate with analysts and business users on dashboard requirements and usability. Governance, Security & Operations • Implement workspace strategies, environment separation (Dev/Test/Prod), and deployment pipelines in Fabric. • Enforce data access controls, row-level security (RLS), and sensitivity labels. • Establish monitoring, logging, and alerting for pipeline health and data reliability. • Document data models, pipelines, and operational runbooks. • Participate in on-call or production support rotations as needed. Collaboration & Leadership • Act as a technical mentor for junior engineers and analysts. • Influence data architecture decisions and analytics best practices. • Work closely with product managers, marketing leaders, and BI teams to prioritize and deliver high-impact data products. • Contribute to standards for data modeling, naming conventions, and pipeline design. Required Qualifications Core Technical Skills • 8+ years of experience in data engineering / analytics engineering roles. • Strong hands-on expertise with Microsoft Fabric: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces and deployment pipelines • Advanced SQL skills and experience with large analytical datasets. • Strong experience with Power BI: Semantic models, DAX, Performance optimization • Proficiency in PySpark or Spark SQL. Data Engineering Fundamentals • Deep understanding of: Data modeling (star/snowflake schemas), ETL / ELT design patterns, Incremental processing and CDC, Data quality and validation frameworks • Experience operating data platforms in production environments. Domain & Soft Skills • Experience supporting marketing analytics, customer analytics, or growth analytics. • Strong stakeholder communication skills—able to translate business questions into data solutions. • Comfortable working in agile, fast-moving environments with evolving requirements. Preferred / Nice-to-Have • Experience with enterprise marketing stacks (CDPs, CRM, campaign tools). • Familiarity with data governance frameworks and privacy-aware data design. • Experience migrating from legacy BI platforms to Microsoft Fabric. • Exposure to CI/CD concepts for data platforms. • Azure ecosystem experience beyond Fabric (Synapse, ADLS, etc.). What Success Looks Like • Reliable, well-governed Fabric lakehouses powering business-critical dashboards. • High-performing Power BI reports used daily by marketing and leadership teams. • Reduced data latency and improved trust in analytics. • Clear documentation and reusable data assets. • Strong collaboration between engineering, analytics, and business users."