About The Position
If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special! The Senior Azure Data & Analytics Engineer will assist the Cloud Engineering Manager design and build our Azure-based data platform, including our new Azure Data Warehouse, Data Lake, and future Microsoft Fabric ecosystem. This role will provide technical oversight, ensure architectural consistency, and take ownership of ongoing development. This role will also work with development teams and Business users to help design and support Alteryx analytics and Power BI models and reporting solutions. While currently limited to one business unit it will eventually support enterprise-wide analytics.
Requirements
- 7+ years in data engineering or business intelligence engineering.
- 3+ years working with Azure Data Lake, Azure analytics services, or Microsoft Fabric.
- Strong SQL, data modeling, data warehousing, and ETL/ELT background.
- Expertise with Power BI development and DAX optimization.
- Ability to review, validate, and guide work delivered by external consultants.
- Understanding of Azure networking, security, and identity as they apply to data services.
- US Work Authorization required.
Nice To Haves
- Experience building or overseeing a greenfield Azure data platform.
- Azure Data Engineer Associate (DP‑203) or comparable certification.
- Knowledge of IBM Data Replication, Spark, Synapse, Databricks, or Fabric SQL Warehouse.
- Experience supporting enterprise-wide BI environments.
- Experience in managing Microsoft Dynamics
Responsibilities
- Architect and develop Azure Data Lake Storage Gen2 environments, including structure, security, and governance.
- Oversee consultant-built Azure Data Warehouse design and validate technical decisions.
- Plan for migration or expansion into Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Analytics) as the platform evolves.
- Build, optimize, and operationalize data pipelines (ETL/ELT) using Azure Data Factory, Fabric Data Factory, or Synapse technologies.
- Develop scalable data models, schemas, and structures for both warehouse and Data lake architectures.
- Implement data quality, lineage, governance, and metadata processes using Purview or Fabric governance features.
- Work with Business users and Development teams to optimize Power BI datasets, semantic models, and reports for enterprise consumption.
- Provide best practices for dataset design, DAX optimization, and performance tuning.
- Partner with business units to understand analytic requirements and translate them into scalable solutions.
- Enforce best practices for security, identity, networking, and cost management within Azure analytics services.
- Create documentation, standards, and repeatable patterns for data engineering and BI development.
- Validate consultant work for correctness, maintainability, governance alignment, and scalability.
Benefits
- competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages of life.
- option to select from multiple health, dental and vision insurance plan options
- optional life, disability, and AD&D insurance.
- 401(k) with employer match contributions
- Employee Stock Purchase Plan
- PTO
- corporate holidays
- floating holidays
- parental leave.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
