Position: Data Architect
Location: Tallahassee, FL.
Duration: 4 Months with a possible renewal
Education
• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field. Work experience can substitute on a year for year basis for the degree.
Experience
• A minimum of 7 years of experience with large and complex database management systems.
• A minimum of 7 years of experience as a data architect or senior data analyst, with extensive experience in designing, implementing, and maintaining data models and ETL processes.
• 10+ years of broad experience working with database management systems (such as Oracle, SQL Server, or DB2) and data integration tools.
• Strong background in financial data systems, including data modeling, data governance, and data quality management.
• Proven 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.
• Familiarity with cloud-based data integration solutions, such as Azure or Snowflake.
Preferred Qualifications:
• Experience with DB2 systems.
• Experience with Informatica or other modern data integration platforms.
• Strong analytical skills and the ability to translate business requirements into technical specifications.
• Excellent communication and collaboration skills, capable of working effectively with technical and non-technical stakeholders.
Primary Job Duties/ Tasks
The candidate submitted must be able to perform the following duties and/or tasks:
• 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.
• Ensure continuous improvement in data processes by defining roadmaps, standardizing methodologies, and collaborating on strategic initiatives.
• Evaluate and align current data systems with the state’s cloud-first initiative, ensuring data models are scalable and compatible with cloud architecture.
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