Lead Data Architect

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.

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