Developer III - Data Engineer, Microsoft Fabrics Specialist

Developer III - Data Engineer, Microsoft Fabrics Specialist We are seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have at least 2 years of hands‑on experience implementing Microsoft Fabric, including deep expertise in Fabric Data Factory, Dataflow Gen2, Notebooks, and Data Warehouse and Lakehouse design. Key Responsibilities Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and orchestration. Build Dataflow Gen2 processes to prepare and enrich data from multiple sources for analytical consumption. Develop and manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation. Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions. Implement robust data quality, validation, and monitoring processes. Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs. Understand when to use Lakehouse vs. Warehouse based on data volume, structure, performance requirements, and business use cases. Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic models). Ensure alignment with enterprise architecture and data governance standards. Analytics & Business Enablement Develop Power BI semantic models and datasets using DAX and Power Query for reporting and self‑service analytics. Collaborate with BI and business teams to ensure data products meet stakeholder needs. Optimize Power BI performance by tuning data models, queries, and refresh strategies. Support advanced analytics, forecasting, and AI initiatives through well‑structured and high‑quality data sources. DevOps & Agile Delivery Work within a DevOps Agile framework, participating in sprint planning, stand‑ups, and retrospectives. Use version control and continuous integration tools to manage and deploy data assets. Collaborate closely with cross‑functional teams including software engineers, BI developers, and business analysts. Create detailed technical documentation, reusable templates, and automated deployment scripts. Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs and deliver tailored data solutions. Translate business requirements into technical specifications and implement scalable data solutions accordingly. Promote best practices for data accessibility, quality, and governance across departments. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. Minimum of 2 years of hands‑on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse). Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation. Strong working knowledge of Power BI, DAX, and Power Query (M language). Expertise in SQL and Python for data transformations, query optimization, and automation. Solid understanding of data architecture principles, including data modeling, schema design, and performance tuning. Experience applying DevOps and Agile methodologies in data engineering projects. Ability to choose the right Fabric tools (Lakehouse, Warehouse, Dataflows, Notebooks, Power BI) to solve specific business problems. Familiarity with Data Mesh principles, including domain‑oriented data ownership, federated governance, and self‑service data platforms. Proficient in implementing Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric for scalable and maintainable data solutions. Excellent communication and collaboration skills, with experience working across multiple business domains. Preferred Qualifications Microsoft certifications such as: Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate Experience with GitHub Actions or Azure DevOps YAML pipelines for CI/CD automation. Familiarity with data governance frameworks, metadata management, and security best practices. Exposure to real‑time analytics, event‑driven architecture, or AI/ML data preparation. Compensation Salary range: $111,000 – $209,000. The final compensation will be determined during the interview process and will consider factors such as experience, expertise, current business needs, and market conditions. Benefits Medical/Prescription Drug Coverage (including a Health Savings Account feature) Back‑up Child/Elder Care and access to a caregiving concierge Wellness Program Vision Insurance 401(k) Retirement Plan and Profit Sharing Business Travel Accident Insurance Short‑ and Long‑Term Disability Protection Pet Insurance Life Insurance (Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment) Health Advocacy Services Paid Time Off (25‑30 days per year) Identity Protection/Restoration and Fraud Insurance Parental Leave (18 weeks of which 6 are paid; short‑term disability may provide additional paid time off) Student loan refinancing options and access to a student loan concierge service Paid Holidays (12) Addiction Resources Family Building Benefits Breast Milk Delivery and Lactation Support Services Flexible Spending Accounts Employees also may be eligible to receive bonuses and certain expense reimbursements Employee Assistance Program Professional Development and CLE Credit Opportunities 529 Deductions Relocation Employee Referral Program Critical Illness Insurance Hospital Indemnity Insurance Perks including: Technology, Entertainment, and Travel Discount Programs All other benefits (such as leaves of absence) required by law Equal Employment Opportunity The Firm is an equal opportunity employer. Employment decisions shall be based on merit, qualifications, and competence, and are not influenced by any protected characteristic. The Firm complies with all applicable federal, state, and local laws regarding discrimination, disability accommodations, background checks, and fair‑chance ordinances. Background checks will be conducted in accordance with applicable laws. Qualified California and Washington State applicants with criminal history records will be considered in compliance with relevant fair‑chance laws. Location Information Technology All Practice Areas Austin, TX; Boston, MA; Charleston, SC; Charlotte, NC; Chicago, IL; Dallas, TX; Durham, NC; Harrisburg, PA; Houston, TX; Irvine, CA; Kansas City, MO; Los Angeles, CA; Miami, FL; Nashville, TN; New York, NY; Newark, NJ; Palo Alto, CA; Pittsburgh, PA; Portland, OR; Raleigh, NC; San Francisco, CA; Seattle, WA; Washington, DC; Wilmington, DE. #J-18808-Ljbffr K&L Gates LLP incorporated