AI Data Solutions Architect

Position Information

Our client is seeking a talented AI Data Solutions Architect.

Responsibilities

• Define and maintain the enterprise data architecture for all AI and machine learning projects, including data lake, warehouse, and feature store strategies.
• Design data models, schemas, and pipelines optimized for AI/ML consumption across Snowflake, BigQuery, Postgres, and supporting platforms.
• Establish standards for data ingestion, transformation, storage, and retrieval that support real-time and batch AI workloads.
• Architect integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.
• Build and maintain a comprehensive data catalog and lineage map that documents where every critical data asset lives, how it is used, and which AI models depend on it.
• Partner with Data Engineering and Analytics teams to ensure data quality, consistency, and compliance across all AI data pipelines.
• Implement metadata management practices and tooling to enable self-service discovery and impact analysis.
• Define data classification, access controls, and retention policies for AI-specific datasets in alignment with security and regulatory requirements.
• Serve as the embedded data architect across all AI Center of Excellence projects, ensuring each initiative has a sound data foundation from design through deployment.
• Collaborate with AI/ML engineers, agent developers, and platform teams to translate business requirements into data architecture decisions.
• Evaluate and recommend data technologies, connectors, and integration tools that accelerate AI delivery (e.g., vector databases, RAG pipelines, embedding stores).
• Support the buildout of the enterprise data lake initiative, consolidating disparate data sources for AI and analytics workloads.
• Develop and maintain data architecture standards, reference architectures, and design patterns tailored for AI use cases.
• Create and present architecture proposals, data flow diagrams, and technical documentation to both technical and executive audiences.
• Stay current on emerging data technologies, cloud-native data services, and AI infrastructure patterns; advise leadership on adoption opportunities.
• Contribute to the AI Center of Excellence’s technology standards and roadmap for data infrastructure.

Requirements

• 8+ years of experience in data architecture, data engineering, or enterprise data management.
• 3+ years of hands-on experience designing data solutions for AI/ML workloads.
• Deep expertise with cloud data platforms, particularly Snowflake, Google BigQuery, or equivalent.
• Strong understanding of data modeling (dimensional, graph, document), ETL/ELT pipelines, and data integration patterns.
• Experience with data governance frameworks, data cataloging tools, and lineage tracking.
• Familiarity with AI/ML data requirements including feature engineering, vector embeddings, retrieval-augmented generation (RAG), and unstructured data processing.
• Proficiency in SQL; working knowledge of Python or similar scripting languages.
• Excellent communication skills with the ability to translate complex data concepts for non-technical stakeholders.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.
• Experience with Snowflake’s advanced features (Snowpark, Cortex, data sharing, dynamic tables).
• Hands-on experience with GCP services (Vertex AI, Cloud Storage, Pub/Sub, Dataflow).
• Familiarity with knowledge graph technologies, semantic layers, or ontology design for AI applications.
• Experience with enterprise data lake or data mesh architectures.
• Background in retail, automotive, or RV/dealership industry data environments.
• Relevant certifications (e.g., Snowflake SnowPro, GCP Professional Data Engineer, AWS Data Analytics).
• Experience with MCP (Model Context Protocol) or similar AI-to-data integration frameworks.

Additional Information

Candidates may need to pass a drug and/or background check.

COVID-19 Update

Thank you for your interest in a career with IGNW a CDW Company. We are committed to maintaining a workplace that is free of known hazards and to ensuring the safety, health, and well-being of customers, coworkers and the community.

In alignment with this commitment to safety, IGNW requires all U.S.-based coworkers to be fully vaccinated against COVID-19. The only exceptions to this policy are a documented, legally required medical or religious exemption/accommodation granted by IGNW.

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• The recent acquisition by CDW. Press release here.
• IGNW being voted Glassdoor’s Best Places to Work in 2020 across the U.S. and eight other countries. See the details here.
• IGNW also earned the Best of Staffing Award for providing remarkable service to job seekers, hiring managers and current contractors. Check it out here!
• We are proud to foster a great team working environment and offer highly competitive compensation and full benefits packages including medical, flexible spending accounts, dental, vision, 401k and more