About this role
About the Role As a Manager, Professional Services at Databricks, you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will oversee projects in the Databricks journey and provide guidance to help customers achieve value and strategic objectives using our products. This role is based in Bengaluru, with remote work options in India. What You'll Do
- 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
- Lead 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
- Act as the first point of escalation for customers and provide escalation into other parts of Databricks to ensure rapid resolution
- Provide input to grow and improve internal processes and customer success service offerings
- Effectively build and leverage customer relationships throughout the sales and delivery process What We're Looking For
- 12+ years of industry experience
- 6+ years in a customer-facing role
- 4+ years leading a technical team of Data Engineers / Architects
- Extensive experience in Big Data ecosystem (Spark, Hadoop, 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 Nice to Have
- Knowledge of Databricks ecosystem is a plus Compensation & Benefits
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance