
Chief Data Strategist
5 days ago
We are seeking a highly skilled and experienced data professional to join our team. The successful candidate will design, develop, and optimize complex data architectures that support business objectives.
Key Responsibilities:- Design, develop, and optimize scalable data pipelines, ETL processes, and integration solutions using SQL Server, Azure Data Factory, and Databricks.
- Architect and implement robust data models and solutions that support reporting and analytics needs, ensuring high performance and scalability.
- Maintain SQL Server Reporting Services while transitioning legacy reporting to modern platforms such as Power BI.
- Collaborate with stakeholders to gather data requirements and translate them into technical solutions that drive business insights.
- Ensure data accuracy, integrity, and quality by implementing effective governance, security, and compliance measures.
- Develop and support high-performance querying solutions using Delta Lake and serverless SQL environments.
- Implement version control and CI/CD pipelines using Git or other similar tools.
- Proactively identify and resolve bottlenecks, optimizing existing data infrastructure to improve efficiency and scalability.
- Drive the adoption of Azure data services and related cloud technologies across the data engineering team.
- Provide advanced troubleshooting and performance tuning expertise for SQL and data integration solutions.
- 5+ years of experience in data engineering with a strong focus on SQL Server, Azure Data Factory, and Databricks or MS Fabric.
- Proficient in SQL development, including stored procedures, query optimization, and performance tuning.
- Extensive experience with ETL development and data integration from various sources including SQL, DB2, MySQL, Azure Blob, and APIs.
- Expertise in designing and optimizing data models.
- Hands-on experience with SSRS and the ability to modernize legacy reporting by transitioning to Power BI.
- Familiarity with Azure core services, including Logic Apps, Azure Functions is a plus.
- Familiarity with data governance and best security practices.
- Experience with Agile methodologies and tools like Atlassian JIRA for managing tasks and workflows.
- Proficiency with version control systems such as Git and deployment automation tools.
- Proven ability to architect scalable data solutions that drive business objectives and operational efficiencies.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience in data engineering roles, with a track record of successful data project implementations.
- Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.
- Excellent communication and collaboration skills, with the ability to lead and inspire teams.
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