Lead Data Engineer

Capgemini • Irving, TX

7d • $90,000 - $160,000 • Remote

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• 10+ Years of Experience in Data Engineering
• At least four years of experience designing and delivering data engineering solutions with Databricks
• Ability to independently define and deploy an end to end data architecture that includes Databricks medallion architecture
• Experience leading large teams of engineers and developers to deploy Databricks solutions
• 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
• Background working with orchestration tools, such as Airflow
• Strong knowledge of Unity Catalog
• 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

Nice To Haves

• Familiarity with CI/CD methods desired
• Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired

Responsibilities

• Designing and delivering data engineering solutions with Databricks
• 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
• Extracting value from large and complex sets of data from various sources and databases
• Deploying Delta Lake Solutions into production
• Managing senior client stakeholders

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
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed