Overview
On Site
$200,000 - $235,000 annually
Full Time
Skills
Ontologies
Machine Learning (ML)
Clarity
Data Architecture
Reporting
Analytics
Data Science
Data Management
Accessibility
Data Warehouse
Resource Description Framework
OWL
Collaboration
Machine Learning Operations (ML Ops)
Workflow
Management
Databricks
Neo4j
Data Modeling
Investments
Continuous Integration
Continuous Delivery
Extract
Transform
Load
Microsoft SSIS
Streaming
SQL
R
Python
JavaScript
Unity
ERwin
Semantics
Meta-data Management
Microsoft Azure
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Plano, TX seeking an Enterprise Architect for Data & AI. This position is hybrid and a direct-hire opportunity.
Summary:
The Enterprise Architect will develop data architecture across the organization, providing expertise, and resolving conflicts in data architecture projects by analyzing business needs and managing the quality of deliverables created. You will drive alignment on data architecture principles, foster cross-functional collaboration, and ensure that data capabilities are scalable and aligned with enterprise AI goals.
Day-to-Day Responsibilities:
* Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
* Partner with product, data, and engineering teams to define domain-driven data contracts that support AI, analytics, and operational needs
* Collaborate with governance, AI/ML, and metadata teams to support computational governance and automated metadata enrichment
* Evaluate AI-generated code for accuracy, performance, and clarity
* Build data architecture and applications that ensure reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data
* Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
* Enable scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses)
* Provide strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF/OWL) and drive adoption of best practices
* Strong collaboration skills, working cross-functionally with data product owners, engineers, data scientists, and governance teams
* Provide feedback that directly shapes the next generation of AI models
* Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
* 10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture
* 2+ years of experience with Data-focused A1 tools
* Experience working with investments industry
* Data modeling experience for investments
* Experience optimizing data, CI/CD process and tools, test frameworks and practices
* Experience with ETL (Azure Data Factory/SSIS) and knowledge of a variety of data platforms and ingestion patterns including events and streams
* Must be proficient in SQL and experience with R, Python, or JavaScript
* Proficient in tools such as Purview, Unity catalog, Erwin or other semantic/metadata platforms
* Deep experience with Microsoft Azure and their AI and data services
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Plano, TX seeking an Enterprise Architect for Data & AI. This position is hybrid and a direct-hire opportunity.
Summary:
The Enterprise Architect will develop data architecture across the organization, providing expertise, and resolving conflicts in data architecture projects by analyzing business needs and managing the quality of deliverables created. You will drive alignment on data architecture principles, foster cross-functional collaboration, and ensure that data capabilities are scalable and aligned with enterprise AI goals.
Day-to-Day Responsibilities:
* Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
* Partner with product, data, and engineering teams to define domain-driven data contracts that support AI, analytics, and operational needs
* Collaborate with governance, AI/ML, and metadata teams to support computational governance and automated metadata enrichment
* Evaluate AI-generated code for accuracy, performance, and clarity
* Build data architecture and applications that ensure reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data
* Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
* Enable scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses)
* Provide strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF/OWL) and drive adoption of best practices
* Strong collaboration skills, working cross-functionally with data product owners, engineers, data scientists, and governance teams
* Provide feedback that directly shapes the next generation of AI models
* Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
* 10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture
* 2+ years of experience with Data-focused A1 tools
* Experience working with investments industry
* Data modeling experience for investments
* Experience optimizing data, CI/CD process and tools, test frameworks and practices
* Experience with ETL (Azure Data Factory/SSIS) and knowledge of a variety of data platforms and ingestion patterns including events and streams
* Must be proficient in SQL and experience with R, Python, or JavaScript
* Proficient in tools such as Purview, Unity catalog, Erwin or other semantic/metadata platforms
* Deep experience with Microsoft Azure and their AI and data services
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.