14352 – Data Architect (onsite) – Tallahassee, FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 5+ months with possible extensions
Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client
Required:
• Availability to work 100% of the time at the Client’s site in Tallahassee, FL (required);
• Experience with large and complex database management systems (7 years)
• Experience as a data architect or senior data analyst, with extensive experience in designing, implementing, and maintaining data models and ETL processes. (7 years)
• Experience working with database management systems (such as Oracle, SQL Server, or DB2) and data integration tools (10 years)
• Experience in financial data systems, including data modeling, data governance, and data quality management.
• Experience with ETL tools, data warehousing, and automation of data processes to ensure accuracy, timeliness, and completeness of data.
• Experience in data visualization and reporting best practices, with familiarity with tools like Power BI, Tableau, or similar platforms.
• Experience with cloud-based data integration solutions, such as Azure or Snowflake.
• Experience with financial management Work Program Application (WPA), RCI LRS, RCI/TCI, and Pavement Systems.
• Experience with the Florida PALM system or similar state or federal financial management systems.
• Experience with data pipelines, batch vs. real-time integration, and API-driven architectures.
Preferred:
• Experience with DB2 systems.
• Experience with Informatica or other modern data integration platforms.
Responsibilities include but are not limited to the following:
• Analyze and verify existing data models and interfaces to assess impacts and identify potential disruptions due to the implementation of a modernized data model.
• Design and implement comprehensive data models to ensure compatibility with business processes and reporting needs.
• Review and enhance ETL processes to improve data quality, timeliness, and accuracy, and implement robust data quality measures to maintain high standards of production data.
• Collaborate with development teams to deploy revised data models, verifying successful implementation and resolving any integration issues.
• Provide expert guidance on data visualization and reporting, establishing best practices to optimize business insights, and monitor dependencies with interfacing systems to propose remediation where necessary.
• Act as a liaison between technical teams, business stakeholders, OOT, and OIT to ensure clear communication regarding data architecture changes and project timelines.
• Mentor and provide technical leadership to team members, guiding them on best practices in data integration, architecture, and quality management.