Manager, Professional Services

## Responsibilities - 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 the development of IP, reusable tooling, and assets for field professional services teams and partners - Partner with key business stakeholders to prioritize 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 ## Requirements - 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 - Proven documentation skills, along with strong project management experience - Strong abilities to 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 ## 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 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.