Genesis10
Genesis10 is seeking a Data/AI Enterprise Architect for our client in the wealth management industry. This Direct Hire position is located in Camus, WA OR Plano, TX.
W2 Status:
Only candidates available and ready to work directly as our client's employees will be considered for this position. Not accepting candidates that require sponsorship now or in the future. No Third Parties.
Description:
The Enterprise Data 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. You will report to the Vice President, Enterprise Architecture and Standards.
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
Extensive experience building big data pipelines
Requirements
10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture
2+ years of experience with Data-focused A1 tools
Experience optimizing data, CI/CD process and tools, test frameworks & 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
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Desired Skills
Experience with Wealth Management and/or asset management is a plus
If you have the described qualifications and are interested in this exciting opportunity, please apply!
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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W2 Status:
Only candidates available and ready to work directly as our client's employees will be considered for this position. Not accepting candidates that require sponsorship now or in the future. No Third Parties.
Description:
The Enterprise Data 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. You will report to the Vice President, Enterprise Architecture and Standards.
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
Extensive experience building big data pipelines
Requirements
10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture
2+ years of experience with Data-focused A1 tools
Experience optimizing data, CI/CD process and tools, test frameworks & 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
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Desired Skills
Experience with Wealth Management and/or asset management is a plus
If you have the described qualifications and are interested in this exciting opportunity, please apply!
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr