Define and deploy an end to end data architecture that includes Databricks medallion architecture
Leading large teams of engineers and developers to deploy Databricks solutions
Must be able to manage senior client stakeholders

6+ Years of Experience in Data Engineering
At least four years of experience designing and delivering data engineering solutions with Databricks
Expert level hands on development knowledge in PySpark/Python
Expert level hands on SQL development skills
Hands on cloud platform experience in two of the following cloud platforms: Azure, AWS, Google Cloud
Prior expertise deploying Delta Lake Solutions into production
Experience extracting value from large and complex sets of data from various sources and databases
Solid grasp of database engineering and design principles
Familiarity with CI/CD methods desired
Background working with orchestration tools, such as Airflow
Strong knowledge of Unity Catalog
Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired
Experienced in managing senior client stakeholders
Delta Sharing and Marketplace Expertise
Experience working with Databricks Apps
Working knowledge of Databricks Genie, AI/BI and Databricks Data Visualization Capabilities
Conceptual, Logical and Physical Data Modeling Experience Preferred

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

Senior Data Engineer – Databricks Engineer

Key skills