Techelligence is seeking an experienced professional with a career that includes Strategic Leadership of business process/performance and technical solutions.
Role Overview
The Databricks Data Engineering Practice Lead is responsible for leading and growing the data engineering consulting services, focusing exclusively on the Databricks ecosystem. They oversee project delivery, team development, and client relationships.
Responsibilities
On the Job Responsibilities
Lead complex Databricks data engineering projects
Develop and implement best practices for data engineering
Mentor and grow the data engineering team
Engage with clients to understand requirements and propose solutions
Contribute to business development and sales efforts
Stay current with Databricks platform updates and industry trends
Ensure project quality and timely delivery
Collaborate with other practice leads (e.g., Data Science, Analytics)
Qualifications
Show off your Talent
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in data engineering, with 3+ years in leadership roles
Strong experience in data engineering, including data modeling, data warehousing, and ETL/ELT processes.
Expertise in the Databricks platform, including Databricks Lakehouse, Delta Lake, and Databricks SQL, Unity Catalog.
Proficiency in programming languages such as Python, Scala, or SQL.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong leadership and team management skills.
Excellent communication and collaboration skills.
What We Provide
Benefits
Profit Sharing
Profit Sharing in a hot start-up with products in a high growth Big Data space
Insurance
Company paid health, dental, and vision insurance
Vacation
Flexible vacation policy
Opportunity to Learn
An opportunity to learn new technology and work in a lean, high growth, exciting start up
Competitive Compensation
Compensation can be discussed and not a constraint for the right candidate.