Data Architect (Lakehouse)

Job Title: Data Architect (Lakehouse)

San Jose California

12+ Months

About the Role : We are seeking an experienced Data Architect to serve as the technical authority on our data platform team.

Lead Data Engineer/Architect will be responsible for shaping the architecture and engineering standards of our enterprise-scale Lakehouse environment on Databricks, guiding a team of talented engineers, and driving measurable improvements in platform performance and cost efficiency.

Candidate Profile

• 8-10+ years of professional data engineering experience
• Strong foundation in Lakehouse architecture principles and best practices
• Deep expertise in Apache Spark and Delta Lake optimization techniques
• Demonstrated track record of shipping and operating production-grade data platforms

Key Responsibilities

• Serve as the primary technical authority for data platform decisions across the engineering organization
• Define and enforce data design patterns, partitioning strategies, and file management standards to ensure platform reliability and scalability
• Lead cost optimization initiatives and continuous performance tuning across Databricks workloads
• Establish and uphold the code quality bar through rigorous code reviews, standards documentation, and engineering best practices
• Mentor and develop team members, fostering a culture of technical excellence and continuous learning

Technical Skills & Tools

Platform: Databricks, Apache Spark, Delta Lake, Apache Hive

Languages: Python (PySpark), SQL, Scala

Architecture: Medallion (Bronze/Silver/Gold), Data Lakehouse, Lambda/Kappa patterns

DevOps: GitHub, CI/CD pipelines, Infrastructure-as-Code

Cloud: Azure, AWS, or Google Cloud Platform data services

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required.