Senior Data Engineer
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About the role
The Senior Data Engineer is a technical leadership role responsible for architecting complex data solutions and driving engineering excellence across the team. This position combines deep technical expertise with mentoring responsibilities and strategic thinking about data platform evolution. Senior Data Engineers lead high-impact projects, establish technical standards, and serve as subject matter experts in advanced data engineering concepts. They work closely with business stakeholders to translate requirements into scalable technical solutions while fostering a culture of innovation and continuous improvement. Success is measured by technical impact, team development contributions, platform stability improvements, and thought leadership within the organization
Key Job Accountabilities
- Lead design and implementation of complex, enterprise-scale data solutions
- Architect scalable data pipelines using advanced Microsoft Fabric and Databricks features and optimization techniques
- Drive technical standards and best practices across the data engineering team
- Collaborate with business stakeholders to translate requirements into technical solutions
- Design and implement real-time streaming data solutions using Azure Event Hubs and Stream Analytics
- Lead performance tuning initiatives for data warehouse and processing systems
- Mentor team members and lead technical training sessions
- Evaluate and recommend new technologies and tools for the data platform
Qualifications/Requirements
- 5-7 years of progressive experience in data engineering
- Expert-level knowledge of SQL Server, Azure SQL, and query optimization
- Advanced experience with Microsoft Fabric, Databricks (Delta Lake, MLflow, Unity Catalog), Apache Spark
- Proficient in multiple programming languages (Python, Scala, SQL, PowerShell)
- Deep understanding of Azure data services ecosystem
- Experience with Microsoft Fabric (Data Factory, Synapse, Power BI, Data Activator)
- Knowledge of advanced data modeling techniques and data vault methodology
- Experience with microservices architecture and API development
- Understanding of machine learning pipeline integration
- Strong background in data governance, security, and compliance frameworks
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