- Design scalable, high -performance data solutions using Azure SQL, Azure Data Factory, Azure Data Lake, Azure Data bricks, and Azure Synapse.

- Develop and implement robust data models, ETL/ELT processes, and data warehousing solutions using Snowflake, BigQuery, and other relevant technologies.

- Ensure data solutions align with business goals and comply with industry standards and best practices.

- Oversee the integration of data from various sources, ensuring data quality, consistency, and accessibility.

- Utilize T -SQL, Python, PySpark, and DBT to manage and transform data effectively.

- Implement data governance and security protocols to protect sensitive information.

- Develop and maintain advanced data analytics and visualization solutions using Power BI and Tableau.

- Collaborate with business stakeholders to translate data insights into actionable business strategies.

- Drive the adoption of data -driven decision -making processes within the organization.

- Provide technical leadership and mentorship to the data engineering team.

- Stay current with emerging data technologies and industry trends, and recommend cutting-edge solutions to enhance data architecture.

- Lead and participate in Agile Scrum processes to ensure timely and efficient delivery of data projects.

- Act as a liaison between technical teams and business stakeholders, ensuring clear communication and understanding of data requirements and solutions.

- Provide exceptional client service,



addressing and resolving technical issues promptly.

- Manage techno -functional aspects of data projects, ensuring alignment between technical solutions and business needs.

- Ensure data systems are reliable, available, and performant, meeting the needs of the organization.

- Implement and maintain IT service management best practices to ensure operational excellence.