Developer III - Data Engineer, Microsoft Fabrics Specialist

Job Summary We are seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. Candidates must have at least 2 years of hands‑on experience with Microsoft Fabric, including Fabric Data Factory, Dataflow Gen2, Notebooks, and Data Warehouse and Lakehouse design. The role collaborates with Finance, HR, Client Growth, and other departments to deliver scalable, reliable, business‑aligned data products. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for 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 pipelines using CI/CD in Azure DevOps or GitHub Actions. Implement robust data quality, validation, and monitoring processes. Data Architecture & Modeling Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs. Choose Lakehouse versus Warehouse based on data volume, structure, performance, and business use cases. Apply best practices for data modeling (star/snowflake schema, dimensional modeling, 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 meet stakeholder needs. Optimize Power BI performance by tuning data models, queries, and refresh strategies. Support advanced analytics, forecasting, and AI initiatives through high‑quality data sources. DevOps & Agile Delivery Participate in sprint planning, stand‑ups, and retrospectives within a DevOps Agile framework. Use version control and continuous integration tools to manage and deploy data assets. Collaborate with software engineers, BI developers, and business analysts. Create technical documentation, reusable templates, and automated deployment scripts. Cross‑Departmental Collaboration Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs. Translate business requirements into technical specifications and implement scalable data solutions. Promote best practices for data accessibility, quality, and governance across departments. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or 10+ years of related experience. Minimum 2 years of hands‑on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse). Proven experience deploying Fabric Data Factory pipelines with CI/CD automation. Strong knowledge of Power BI, DAX, and Power Query (M language). Expertise in SQL and Python for transformations, query optimization, and automation. Solid understanding of data architecture principles, including modeling, schema design, and performance tuning. Experience applying DevOps and Agile methodologies in data engineering projects. Ability to choose the right Fabric tools to solve specific business problems. Familiarity with Data Mesh principles, domain‑oriented ownership, federated governance, and self‑service platforms. Proficiency in implementing Medallion Architecture (Bronze, Silver, Gold) within Microsoft Fabric. Excellent communication and collaboration skills across multiple business domains. Preferred Qualifications Microsoft certifications such as: Microsoft Certified: Fabric Analytics Engineer Associate or 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. Salary will be determined during the interview process based on experience, expertise, and market factors. Benefits Medical/Prescription Drug Coverage (incl. Health Savings Account) Back‑up Child/Elder Care and caregiving concierge Dental Insurance Wellness Program Vision Insurance Pre‑tax Commuting Benefits 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, Accidental Death & Dismemberment) Health Advocacy Services Paid Time Off (25‑30 days per year) Identity Protection/Restoration and Fraud Insurance Parental Leave (18 weeks, 6 paid; additional paid time via short‑term disability) Student loan refinancing options and concierge service Paid Holidays (12) Addiction Resources Family Building Benefits Breast Milk Delivery and Lactation Support Services Flexible Spending Accounts Bonuses and expense reimbursements (employees may be eligible) Employee Assistance Program Professional Development and CLE Credit Opportunities 529 Deductions Relocation Accident Insurance Employee Referral Program Critical Illness Insurance Hybrid/Remote Work Opportunities Hospital Indemnity Insurance Perks: Technology, Entertainment, and Travel Discount Programs Bereavement Leave All other benefits required by law Equal Employment Opportunity The firm is an equal opportunity employer. Employment decisions shall be based on merit, qualifications, and competence. Practices are not influenced by race, color, religion, creed, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military/veteran status, or any other protected characteristic under federal, state, or local law. Harassment of any kind is prohibited, including based on sex, race, age, disability, ethnic background, or other protected category. The firm complies with disability laws and makes reasonable accommodations for applicants and employees. Notice: We participate in E‑Verify in certain firm locations for employment eligibility verification. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. #J-18808-Ljbffr K&L Gates