Description

Key Responsibilities

AI Data Architecture & Design

• 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.

Data Lineage, Governance & Inventory

• 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.

AI Project Delivery & Collaboration

• 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.

Strategic Planning & Standards

• 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.

Required Qualifications

• 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.

• Experience with enterprise data lake or data mesh architectures.

• 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.

• Experience 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.

Preferred:

• 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.

• 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

Key Skills

Education

Bachelor's degree