data architect

Job Title

The job requires:

• Availability to work 100% of the time at the Client's site in Tallahassee, FL;
• Experience in ETL development and data engineering (7-10 years);
• Experience working with already defined ADF, Azure Databricks, Azure Synapse Analytics, and Azure Purview (3-5 years);
• Experience in building and optimizing large-scale ETL pipelines for high-performance, high availability environments;
• Expertise in Spark, Python, and/or Scala for large-scale data transformations;
• Strong SQL proficiency and experience working with complex data structures;
• Experience with data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and
• Experience in designing ETL processes that are resilient, efficient, and fully compliant with regulatory standards.

The job also prefers:

• Microsoft Certified: Azure Data Engineer Associate;
• Microsoft Certified: Azure Solutions Architect Expert;
• Microsoft Certified: Azure Fundamentals; and
• Databricks Certified: Data Engineer Associate.

Responsibilities include but are not limited to the following:

• Lead the creation of ETL processes to integrate data across different sources, ensuring high performance and reliability.
• Build and maintain ETL workflows for analytics and reporting, focusing on data accuracy and security.
• Work with Azure Data Factory, Databricks, Synapse, and Purview to handle large datasets and deliver scalable data solutions. Continuously improving ETL processes to reduce latency and increase data processing speed, meeting performance metrics.
• Implement data security and governance practices, including data lineage tracking and role-based access, using Azure Purview.
• Engage with data engineers, analysts, and business stakeholders to design solutions that meet departmental goals.
• Create and maintain detailed documentation for ETL processes, enforcing best practices for data handling and security.