| Location | California, CA |
Role: Lead Databricks Engineer
Location: SFO, CA
Job Description Lead Data Engineer Databricks Data Ingestion Lakeflow Connect
Experience 8 years
Role Overview
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate will possess deep expertise in data engineering largescale data integration and cloudbased data platforms with handson experience in Databricks Native Data Loader Lakeflow Connect Delta Lake and enterprise data migration from relational databases such as Oracle MySQL and SQL Server
This role will lead the design and implementation of modern data pipelines mentor engineering teams and collaborate closely with business and technology stakeholders to deliver reliable scalable and highperforming data solutions
Key Responsibilities
Databricks Data Engineering Data Ingestion
Design and implement enterprisescale data ingestion frameworks using Databricks Native Data Loader Lakeflow Connect and other Databricksnative capabilities
Build and optimize batch and streaming data pipelines for ingesting data from Oracle MySQL SQL Server APIs and other enterprise data sources
Develop robust ELTETL pipelines leveraging Databricks Spark Delta Lake and cloudnative technologies
Implement endtoend data movement transformation validation and monitoring solutions
Lead architectural decisions related to data ingestion storage processing and governance
Data Engineering
Create and maintain optimal data pipeline architecture
Build scalable data pipelines that transform raw and unstructured data into analyticsready datasets
Assemble large complex datasets that meet both functional and nonfunctional business requirements
Identify design and implement process improvements including automation infrastructure optimization and scalability enhancements
Develop infrastructure for extraction transformation and delivery of data from diverse data sources using distributed processing technologies
Build and maintain new integrations required for optimal data extraction transformation and loading ETLELT
Implement processes to validate data and monitor data quality ensuring production data is accurate and reliable
Perform root cause analysis on data issues and recommend corrective actions
Write unit and integration tests adopt TestDriven Development TDD practices and maintain technical documentation
Ensure platform reliability performance optimization and adherence to enterprise standards
Leadership Collaboration
Provide technical leadership and mentoring to junior engineers
Collaborate with Product Engineering Analytics Architecture and Business stakeholders to understand requirements and deliver data solutions
Drive best practices in coding DevOps CICD testing and documentation
Participate in architecture reviews code reviews and technical design discussions
Support Agile development processes and contribute to sprint planning and estimation activities