Data Architect

6 days ago

Tallahassee, Florida, United States TekIntegral Full time

Scope of Work/Job Characteristics

The Data Architects, under the working job title of Extract, Transform, Load (ETL) Architects, will serve as the principal line of communication for the project team. The ETL Architects will drive the development of data integration pipelines, enabling efficient, reliable access to critical data within the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Azure. They will

work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview. The ETL Architects will be at the forefront of transforming complex data into actionable insights. The ETL Architects will be responsible for ensuring data integrity, security, and performance, all while

meeting mission-critical needs. The specific duties and responsibilities of this position are as follows:

ETL Pipeline Design and Development:


• Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources;


• Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and


• Utilize ADF to automate and streamline data workflows, ensuring smooth transitions from source to target.

Data Integration and Transformation:


• Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and


• Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination.

Cloud Platform Expertise:


• Leverage the full power of the Azure ecosystem—ADF, Databricks, Synapse, and Purview—to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and


• Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data-driven insights that support the Department's mission.

Required Qualifications


• Seven (7) or more years of experience in ETL development and data engineering;


• Three (3) or more years of hands-on experience working with ADF, Azure Cloud, Azure Databricks, Azure Synapse Analytics, and Azure Purview;


• Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high-availability environments;


• Extensive expertise in Spark, Python, and/or Scala for large-scale data transformations;


• Strong Structured Query Language (SQL) proficiency and experience working with complex data structures;


• In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem;


• Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards.

Preferred Qualifications


• Possession of a Microsoft Office Certification as an Azure Data Engineer Associate, Azure Solutions Architect Expert, and Azure Fundamentals;

  • • Azure Databricks Certification as a Data Engineer Associate.

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