Sr. Data Engineer (MS Fabric) (9 Months Contract)

Sr. Data Engineer:

The Sr. Data Engineer is responsible for designing, building, and delivering enterprise data solutions on the Microsoft Azure platform. This role combines hands-on technical expertise in Azure data services with strong collaboration, data governance awareness, and delivery ownership. You will build and support Azure-based data platforms, ensure scalable and secure architecture, and work cross-functionally to deliver high-impact analytics and reporting solutions.

Key Responsibilities

1. Azure Data Solution Delivery

• Own the end-to-end build of Azure-based data pipelines and solutions, from design through deployment and support.
• Design and implement scalable data solutions by inspecting, cleansing, transforming, and modeling data structures.
• Apply strong hands-on expertise in Azure cloud services, SQL, integration toolsets, and Power BI.
• Develop, deliver, and document data management and BI solutions, including analytics, reporting, and dashboards.
• Monitor and optimize BI tools and data integrations to ensure high performance and reliability.
• Ensure on-time, high-quality delivery aligned with defined standards and business expectations.
• Collaborate with architecture and solution delivery teams to build sustainable BI and data applications with long-term business value.
• Support enterprise data storage and integration solutions, including databases, data warehouses, and BI platforms.

2. Azure Technical Expertise

• Build and implement solutions using Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database / Managed Instance, Fabric & Power BI.
• Apply best practices in data modeling (star/snowflake schema), ETL/ELT design, performance optimization, and CI/CD for data pipelines (Azure DevOps).

3. Stakeholder & Business Engagement

• Translate business requirements into scalable and secure Azure data solutions.
• Collect, analyze, and document data requirements, producing conceptual and technical design documentation.
• Participate in discovery sessions and requirements workshops using interviews, process analysis, use cases, workflow modeling, and stakeholder discussions.
• Provide regular delivery updates and status reporting to project leads.
• Align data solutions with enterprise architecture and cloud strategy.
• Identify opportunities to enhance business value through advanced analytics and data insights.

4. Governance, Security & Compliance

• Implement Azure data governance, security, and compliance practices.
• Ensure adherence to PII regulations and enterprise data protection policies.
• Support data quality monitoring and validation processes.
• Maintain data dictionary, data mapping, lineage documentation, and transformation logic with strong attention to data integrity and accuracy.

5. Collaboration & Best Practices

• Deliver BI metrics, reports, data conversions, and transformation solutions.
• Participate in Agile ceremonies and sprint planning activities.
• Share knowledge with team members and follow standard operating procedures and best practices.
• Collaborate with third-party vendors as needed to support delivery.

Requirements & Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline.
• 610 years of experience with Microsoft Data Platforms, including SQL Server Databases, Reporting platforms, ETL, and T-SQL.
• 610 years of experience working in Agile environments, Azure Cloud, and Azure Data Warehousing solutions.
• 6+ years of experience in data ingestion, processing, transformation, and publishing methodologies.
• Strong understanding of data engineering principles, architecture patterns, and best practices.
• Expertise in data modeling techniques (normalized, dimensional, star, snowflake schemas).
• Deep understanding of RDBMS operations and SQL Server performance optimization.
• Experience extracting and integrating data from structured (RDBMS) and unstructured sources (flat files, external feeds).
• Proficiency in query optimization, performance profiling, and monitoring tools.
• Experience creating and maintaining business requirements documentation and technical specifications.
• Excellent analytical, problem-solving, and communication skills.