F2F Interview Data Architect in FL (Need Local Candidate)

Hi,

I hope all is well. I am doing a search for a client who has an urgent requirement Data Architect contract opportunity. The job description is listed below. If this is something you are interested in, please call me ASAP at and reply to this email. or please mail me your Updated Resume in Word format, Availability, Contact Details, and hourly rate as per the hiring policy of our client.

Data Architect

6 Months+

Tallahassee, FL

Term: The contract term for this Staff Augmentation position is intended to be full-time, with a maximum of 40 hours per week, between 2/9/2026 - 6/30/2026, with possible extension, based on excellence in work provided, need and budget availability.

Face to Face Interviews:

At the hiring manager's discretion, interviews may be conducted via Microsoft Teams or in person.

Telecommuting:

Teleworking is not authorized for this position.

Work Hours

Flexibility to work hours between 7:00 AM & 6:00 PM Monday - Friday, either on a rotation or as part of a regular and on call work schedule.

This position will report to:

Burns Building, 605 Suwannee Street Tallahassee, FL 32399

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:

1. Analyze and verify existing data models and interfaces to assess impacts and identify potential disruptions due to the implementation of a modernized data model.

2. Design and implement comprehensive data models to ensure compatibility with business processes and reporting needs.

3. 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.

4. Collaborate with development teams to deploy revised data models, verifying successful implementation and resolving any integration issues.

5. 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.

6. Act as a liaison between technical teams, business stakeholders, OOT, and OIT to ensure clear communication regarding data architecture changes and project timelines.

7. Mentor and provide technical leadership to team members, guiding them on best practices in data integration, architecture, and quality management.

8. Ensure continuous improvement in data processes by defining roadmaps, standardizing methodologies, and collaborating on strategic initiatives.

9. Evaluate and align current data systems with the state's cloud-first initiative, ensuring data models are scalable and compatible with cloud architecture.