Lead Data Architect

Visionaire Partners; Irvine (CA); Hybrid; USD 148,000 - 185,000; Full time

Benefits offered by this job

Relocation support

Profit sharing

Day-one healthcare

401(k) matching

Job summary

Visionaire Partners seeks a Lead Data Architect to shape the vision, roadmap, and execution of a modern cloud data ecosystem. You will drive a unified lakehouse, self-service BI, and scalable AI/ML capabilities across the enterprise.

You will own data strategy, design scalable pipelines, establish semantic models, and enforce governance. The role requires leadership in cloud platforms like Snowflake and experience with dbt/Fivetran, RBAC/ABAC controls, and MLOps readiness.

Qualifications

• 10+ years in data engineering and architecture.
• 5+ years leading enterprise-scale data architecture and strategy.

Responsibilities

• Own analytics, integration, and AI platform roadmaps and architectures.
• Design API-led, event-driven, and batch data flows across enterprise systems.

Skills

Data architecture

SQL

Python

Governance

Enterprise data modeling

Education

Bachelor's degree in Computer Science or Data Engineering

Tools

Snowflake

dbt

Fivetran

Job description

Lead Data Architect

An established enterprise brand is seeking a Lead Data Architect to spearhead the vision, roadmap, and execution of its modern cloud data ecosystem. This high-impact role leads the shift toward a unified lakehouse framework, self-service business intelligence, and scalable AI/ML capabilities.

Core Responsibilities

• Data Strategy & Architecture: Own the roadmap for analytics, integration, and AI platforms; architect scalable cloud lakehouse environments using the Medallion data pattern.
• Pipeline & Integration Design: Drive API-led, event-driven, and batch data flows across enterprise systems; optimize pipeline monitoring and metadata capture.
• Semantic Layers & Self-Service BI: Establish centralized semantic models, governance catalogs, and user-centric frameworks to democratize trusted data access.
• AI/ML Readiness: Build foundational infrastructure, feature frameworks, and MLOps practices for advanced analytics and Generative AI.
• Governance & Security: Implement strict data protection, access controls (RBAC/ABAC), and enterprise architecture standards.

Qualifications

• 10+ years in data engineering and architecture
• 5+ years leading enterprise-scale data architecture and strategy.
• Deep experience designing cloud lakehouse platforms, including Snowflake, alongside modern transformation tools dbt and Fivetran.
• Strong proficiency in SQL, Python, enterprise data modeling (dimensional/logical), and SaaS architectures.
• Experience with enterprise integration patterns and data governance frameworks.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Location & Perks

• Hybrid (Irvine, CA): 3 days on-site in a state-of-the-art office hub with resort-style amenities (gym, dining, hangout spaces). Relocation support available.
• Comp & Benefits: $148K – $185K base + profit sharing, matching 401(k), day-one healthcare coverage, and clear advancement paths.