Insight Global
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $200,000.00/yr - $230,000.00/yr
Direct message the job poster from Insight Global
JOB DESCRIPTION Insight Global is looking for a Data and AI Enterprise Architect to join their clients team. This candidate 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.
The Day-to-Day includes:
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
REQUIRED SKILLS AND EXPERIENCE
Experience with Assess and Wealth Management from a data modeling perspective at the conceptual, logical and physical level
10+ years of experience with Data technologies (databricks, Neo4j, Pinecone etc)
Familiarity with platforms like Alpha Data Platforms and Financial Services Cloud
Data Modeling for front, middle and back office from an investment perspective
Thorough understanding of Medallion Architectures (with key focus on designing for Lakebase using DeltaLake)
Deploying the embedding models for handling the structured and unstructured data into a knowledge graph (neo4j with cipher queries)
Bachelor’s degree
NICE TO HAVE SKILLS AND EXPERIENCE
How do they make Data ready for AI? (Conversational AI, Generative AI and Agentic AI)
What is their understanding of Data Warehouse Architecture Evaluations
Seniority level Mid-Senior level
Employment type Full-time
Job function Other
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at Insight Global by 2x
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Base pay range $200,000.00/yr - $230,000.00/yr
Direct message the job poster from Insight Global
JOB DESCRIPTION Insight Global is looking for a Data and AI Enterprise Architect to join their clients team. This candidate 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.
The Day-to-Day includes:
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
REQUIRED SKILLS AND EXPERIENCE
Experience with Assess and Wealth Management from a data modeling perspective at the conceptual, logical and physical level
10+ years of experience with Data technologies (databricks, Neo4j, Pinecone etc)
Familiarity with platforms like Alpha Data Platforms and Financial Services Cloud
Data Modeling for front, middle and back office from an investment perspective
Thorough understanding of Medallion Architectures (with key focus on designing for Lakebase using DeltaLake)
Deploying the embedding models for handling the structured and unstructured data into a knowledge graph (neo4j with cipher queries)
Bachelor’s degree
NICE TO HAVE SKILLS AND EXPERIENCE
How do they make Data ready for AI? (Conversational AI, Generative AI and Agentic AI)
What is their understanding of Data Warehouse Architecture Evaluations
Seniority level Mid-Senior level
Employment type Full-time
Job function Other
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at Insight Global by 2x
#J-18808-Ljbffr