Lead Databricks Architect at RingCentral

Belmont, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Communications, AIIndustries

10+ years in data engineering / big data roles, with at least 3+ years of Databricks experience
Proven success in migrating large Hadoop ecosystems (multi-petabyte scale preferred) to Databricks or equivalent cloud-based data platforms
Deep expertise in Spark, Delta Lake, SQL, and Databricks runtime
Strong understanding of cloud data architectures (AWS, Azure, or GCP) including storage (S3, ADLS, GCS), compute, networking, and security
Experience with data governance, cataloging, lineage, and compliance (e.g., Alation, Collibra, Purview)
Proficiency in Python, SQL, and Scala for building and optimizing ETL/ELT pipelines
Strong knowledge of modern data platform patterns (Lakehouse, ML/AI integration, streaming)
Excellent communication and leadership skills—comfortable leading cross-functional teams through complex transformations

Define and drive the Databricks strategy, roadmap, and architecture, including data ingestion, storage, compute, governance, and security
Evaluate and implement best practices for large-scale distributed data processing in Databricks
Optimize performance, cost, and scalability of data pipelines during and after migration
Partner with data engineers, data scientists, and platform teams to ensure business continuity and minimal disruption during cutover
Establish monitoring, reliability, and operational standards in the new environment
Provide technical leadership, mentorship, and hands-on guidance to the engineering team
Collaborate with cloud vendors (AWS, Azure, or GCP, depending on deployment) to ensure alignment with platform best practices