Data Architect (onsite)

Vitaver & AssociatesTallahassee, FL
11hOnsite

About The Position

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

Requirements

  • 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.

Nice To Haves

  • Experience with DB2 systems.
  • Experience with Informatica or other modern data integration platforms.

Responsibilities

  • 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.
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