CSQ227R28 As a Manager (Professional Services) , you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru
The impact you will have: Hire great people and provide technical guidance, career development, and mentoring to team members Participate in key technical and design discussions with technical leads in the team as a hands-on manager Experience leading the development of IP, reusable tooling , and assets for field professional services teams and partners Partner with key business stakeholders to prioritise work and create amazing products to support our data platform
Manage a team of technical data engineers to achieve customer, company, and team goals Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues
Provide input to grow and improve internal processes and customer success service offerings
Effectively builds and leverages customer relationships throughout the sales and delivery process
What we look for: 12+ years of industry experience 6+ years of successful experience in a customer facing role 4+ years of experience leading a technical team of Data Engineers / Architects Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc) Knowledge of AWS / Azure / GCP Knowledge of Databricks ecosystem is a plus Proven documentation skills, along with strong project management experience
Strong abilities manage multiple engagements , while delivering extremely high levels of customer satisfaction
Excellent people skills to partner with various key business stakeholders
Conversant with business issues our customers face today and likely big data use cases in different industries Experience estimating effort and scope for services Benefits : Private medical insurance Accident coverage Employee's Provident Fund Equity awards Paid parental leave Gym reimbursement Annual personal development