Lead Data Engineer - Databricks
About The Position
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, large-scale data integration, and cloud-based data platforms, with hands-on 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 high-performing data solutions.
Requirements
- Deep expertise in data engineering, large-scale data integration, and cloud-based data platforms.
- 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.
- Experience with Databricks, Spark, Delta Lake, and cloud-native technologies.
- Experience with batch and streaming data pipelines.
- Experience with ELT/ETL pipelines.
- Experience with data movement, transformation, validation, and monitoring solutions.
- Experience with coding, DevOps, CI/CD, testing, and documentation.
- Experience with Agile development processes.
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.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
