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About the Role
We are seeking a highly skilled Lead Data Engineer to design, develop, and optimize scalable data ingestion and processing solutions using Databricks native capabilities. 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 high-performing data solutions.
Responsibilities
- Design and implement enterprise-scale data ingestion frameworks using Databricks Native Data Loader, Lakeflow Connect, and other Databricks native 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 ELT/ETL pipelines leveraging Databricks, Spark, Delta Lake, and cloud-native technologies.
- Implement end-to-end data movement, transformation, validation, and monitoring solutions.
- Lead architectural decisions related to data ingestion, storage, processing, and governance.
- Create and maintain optimal data pipeline architecture.
- Build scalable data pipelines that transform raw and unstructured data into analytics-ready datasets.
- Assemble large, complex datasets that meet both functional and non-functional 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 (ETL/ELT).
- 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 Test-Driven Development (TDD) practices, and maintain technical documentation.
- Ensure platform reliability, performance optimization, and adherence to enterprise standards.
- 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, CI/CD, 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.
Requirements
- Deep expertise in data engineering
- Large-scale data integration experience
- Hands-on experience in Databricks Native Data Loader, Lakeflow Connect, Delta Lake
- Experience with enterprise data migration from relational databases such as Oracle, MySQL, and SQL Server.
Skills
- Databricks
- Data Engineering
- Data Ingestion
- Data Pipelines
- Batch Processing
- Streaming Data
- ELT/ETL
- Spark
- Delta Lake
- Cloud-Native Technologies
- Data Transformation
- Data Validation
- Data Monitoring
- Data Governance
- Data Quality
- Root Cause Analysis
- Unit Testing
- Integration Testing
- TDD
- Technical Documentation
- DevOps
- CI/CD
- Agile Methodologies
Location
- San Francisco, CA
Work Type
- Hybrid
Experience Level
- Lead
Salary/Compensations
- $130,000 - $150,000
Benefits
- Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It is a responsible and diverse group of 340,000 team members in more than 50 countries.
- With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.