lead data architect.

job summary:
General Experience Expectations:

A minimum of seven (7) years of experience with large and complex database management systems.

Description/Deliverables

The Department's OIT is seeking the services of an experienced Data Architect under the working title of

Lead Data Architect.

Scope of Work/Job Characteristics

The Lead Data Architect provides strategic, technical, and personnel leadership for the enterprise data

architecture function. This role oversees a team of Data Architects responsible for enterprise modeling,

source-to-target mapping, data quality, and governance initiatives across the organization. The Lead Data Architect defines the long-term vision for enterprise data design, ensures rigorous application of

architecture standards, and drives strategic alignment between business objectives, technical solutions,

and the broader enterprise information strategy. The role requires a balance of high-level architectural

expertise and proven leadership in guiding project teams, mentoring technical staff, and ensuring that

all enterprise data assets are well-governed, high-quality, and trusted. The duties and responsibilities of

this position are as follows:

Enterprise Data Architecture Leadership

- Lead the design, evolution, and roadmap of enterprise-wide data architectures, including operational

data stores, data warehouses, and data marts;

- Provide guidance to ensure all models, schemas, and structures align with enterprise standards and

modernization objectives;

- Oversee development and maintenance of logical and physical data models, ensuring coherent

structures across programs and platforms; and

- Direct the creation and review of source-to-target mappings across all integration and transformation

projects.

Team Leadership and Oversight

- Manage and mentor a team of Data Architects, providing coaching, work direction, and quality

assurance of deliverables;

- Allocate architectural resources to projects and ensure effective prioritization in partnership with

program and project managers;

- Establish best practices, enforce modeling standards, and ensure consistency in documentation,

design approaches, and governance activities; and

- Oversee skills development and support professional growth of team members to align with the

enterprise data strategy.

Data Standards, Quality, and Governance

- Define, maintain, and enforce data architecture standards, policies, and procedures governing

metadata, naming conventions, modeling principles, and lineage documentation;

- Lead the creation and validation of data quality rules; ensure business and technical stakeholders

align on expected data behavior;

- Oversee data lineage documentation, ensuring end-to-end traceability of data flow, business rules,

and transformation logic; and

- Ensure compliance with enterprise governance frameworks and contribute to continuous

improvement of data policies.

Technical Strategy and Solution Guidance

- Partner with engineering, analytics, and application teams to design scalable, performant data

pipelines and storage solutions;

- Provide expert-level guidance on database optimization, recovery strategies, and data loading

methodologies;

- Ensure effective data acquisition strategies and influence platform architecture decisions to support

long-term scalability and modernization efforts; and

- Evaluate emerging technologies, tools, and architectural patterns to enhance the enterprise data

ecosystem.

Cross-Functional Collaboration

- Collaborate with business leaders, solution architects, and program teams to align data architecture

to organizational priorities and program roadmaps;

- Participate in project intake, solution sessions, and design reviews to ensure data implications are

fully accounted for; and

- Champion a data-driven culture by promoting the value of high-quality data, strong governance, and

forward-looking architecture.

Documentation, Standards, and Review

- Ensure all architectural documents-including models, mappings, lineage, governance artifacts, and

migration strategies-are accurate, accessible, and maintained to enterprise standards; and

- Review and approve team outputs to ensure consistency, quality, and alignment with enterprise

architecture.

Requirements/Qualifications

The Department is seeking a full-time, on-site Lead Data Architect.

Required Qualifications

A bachelor's degree from an accredited college or university in Computer Science, Information Systems,

or other related field, or equivalent work experience in Service-Oriented Architecture (SOA) and Azure

Cloud Solutions will be considered.

The Department requires the following experience, skills, and knowledge for this position:

- A minimum of seven (7) years of professional experience managing large-scale, complex database

management systems;

- Strong leadership experience managing data architects or similar technical teams;

- Strong communication skills for engaging technical and business stakeholders;

- Expertise in database platforms, data modeling tools, cloud data ecosystems, and modern data

engineering patterns;

- A minimum of seven (7) years of professional experience in Extract, Transform, Load (ETL)

development and data engineering, with at least three (3) years of hands-on experience working with

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Purview;

- Proven ability to build and optimize large-scale ETL pipelines for high-performance, high-availability

environments;

- Deep expertise in Spark, Python, or Scala for large-scale data transformations;

- Strong Structured Query Language (SQL) proficiency and experience working with complex data

structures;

- Comprehensive knowledge of data governance, security protocols, and Role-Based Access Control

(RBAC) within the Azure ecosystem; and

- Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory

standards.

NOTE: In addition to the above list, the selected Candidate must successfully complete a Level II

Background Check.

Preferred Qualifications

The Department prefers the Candidate to have the following experience, skills, and/or knowledge for this

position:

- Experience managing Amazon Web Services (AWS) warehouse, AWS S3, and Data Sync

processes;

- Comprehensive understanding of Criminal Justice Information (CJI), Health Insurance Portability

and Accountability Act (HIPAA), and Personally Identifiable Information (PII) compliance knowledge;

- Possesses Microsoft Certifications in Azure Data Engineer Associate, Azure Solutions Architect

Expert, and Azure Fundamentals; and

- Possesses a Databricks Certification as a Data Engineer Associate.

 
 
location: Tallahassee, Florida
job type: Contract
salary: $85 - 95 per hour
work hours: 8am to 5pm
education: No Degree Required
 
responsibilities:
Scope of Work/Job Characteristics

The Lead Data Architect provides strategic, technical, and personnel leadership for the enterprise data

architecture function. This role oversees a team of Data Architects responsible for enterprise modeling,

source-to-target mapping, data quality, and governance initiatives across the organization. The Lead Data Architect defines the long-term vision for enterprise data design, ensures rigorous application of

architecture standards, and drives strategic alignment between business objectives, technical solutions,

and the broader enterprise information strategy. The role requires a balance of high-level architectural

expertise and proven leadership in guiding project teams, mentoring technical staff, and ensuring that

all enterprise data assets are well-governed, high-quality, and trusted. The duties and responsibilities of

this position are as follows:

Enterprise Data Architecture Leadership

- Lead the design, evolution, and roadmap of enterprise-wide data architectures, including operational

data stores, data warehouses, and data marts;

- Provide guidance to ensure all models, schemas, and structures align with enterprise standards and

modernization objectives;

- Oversee development and maintenance of logical and physical data models, ensuring coherent

structures across programs and platforms; and

- Direct the creation and review of source-to-target mappings across all integration and transformation

projects.

Team Leadership and Oversight

- Manage and mentor a team of Data Architects, providing coaching, work direction, and quality

assurance of deliverables;

- Allocate architectural resources to projects and ensure effective prioritization in partnership with

program and project managers;

- Establish best practices, enforce modeling standards, and ensure consistency in documentation,

design approaches, and governance activities; and

- Oversee skills development and support professional growth of team members to align with the

enterprise data strategy.

Data Standards, Quality, and Governance

- Define, maintain, and enforce data architecture standards, policies, and procedures governing

metadata, naming conventions, modeling principles, and lineage documentation;

- Lead the creation and validation of data quality rules; ensure business and technical stakeholders

align on expected data behavior;

- Oversee data lineage documentation, ensuring end-to-end traceability of data flow, business rules,

and transformation logic; and

- Ensure compliance with enterprise governance frameworks and contribute to continuous

improvement of data policies.

Technical Strategy and Solution Guidance

- Partner with engineering, analytics, and application teams to design scalable, performant data

pipelines and storage solutions;

- Provide expert-level guidance on database optimization, recovery strategies, and data loading

methodologies;

- Ensure effective data acquisition strategies and influence platform architecture decisions to support

long-term scalability and modernization efforts; and

- Evaluate emerging technologies, tools, and architectural patterns to enhance the enterprise data

ecosystem.

Cross-Functional Collaboration

- Collaborate with business leaders, solution architects, and program teams to align data architecture

to organizational priorities and program roadmaps;

- Participate in project intake, solution sessions, and design reviews to ensure data implications are

fully accounted for; and

- Champion a data-driven culture by promoting the value of high-quality data, strong governance, and

forward-looking architecture.

Documentation, Standards, and Review

- Ensure all architectural documents-including models, mappings, lineage, governance artifacts, and

migration strategies-are accurate, accessible, and maintained to enterprise standards; and

- Review and approve team outputs to ensure consistency, quality, and alignment with enterprise

architecture.

 
qualifications:
General Experience Expectations:

A minimum of seven (7) years of experience with large and complex database management systems.

Requirements/Qualifications

The Department is seeking a full-time, on-site Lead Data Architect.

Required Qualifications

A bachelor's degree from an accredited college or university in Computer Science, Information Systems,

or other related field, or equivalent work experience in Service-Oriented Architecture (SOA) and Azure

Cloud Solutions will be considered.

The Department requires the following experience, skills, and knowledge for this position:

- A minimum of seven (7) years of professional experience managing large-scale, complex database

management systems;

- Strong leadership experience managing data architects or similar technical teams;

- Strong communication skills for engaging technical and business stakeholders;

- Expertise in database platforms, data modeling tools, cloud data ecosystems, and modern data

engineering patterns;

- A minimum of seven (7) years of professional experience in Extract, Transform, Load (ETL)

development and data engineering, with at least three (3) years of hands-on experience working with

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Purview;

- Proven ability to build and optimize large-scale ETL pipelines for high-performance, high-availability

environments;

- Deep expertise in Spark, Python, or Scala for large-scale data transformations;

- Strong Structured Query Language (SQL) proficiency and experience working with complex data

structures;

- Comprehensive knowledge of data governance, security protocols, and Role-Based Access Control

(RBAC) within the Azure ecosystem; and

- Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory

standards.

NOTE: In addition to the above list, the selected Candidate must successfully complete a Level II

Background Check.

Preferred Qualifications

The Department prefers the Candidate to have the following experience, skills, and/or knowledge for this

position:

- Experience managing Amazon Web Services (AWS) warehouse, AWS S3, and Data Sync

processes;

- Comprehensive understanding of Criminal Justice Information (CJI), Health Insurance Portability

and Accountability Act (HIPAA), and Personally Identifiable Information (PII) compliance knowledge;

- Possesses Microsoft Certifications in Azure Data Engineer Associate, Azure Solutions Architect

Expert, and Azure Fundamentals; and

- Possesses a Databricks Certification as a Data Engineer Associate.


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.