Manager : Big Data

As a Manager (Professional Services), you will manage and hire 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.You will report to the AVP, Professional Services.

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
• 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.
• Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology
• Provide input to grow and improve internal processes and customer success service offerings
• Actively participates in regular reviews of high risk and key engagements with the project team and Databricks stakeholders.
• Effectively builds and leverages customer relationships throughout the sales and delivery process.

What we look for:

• 5+ years of successful experience in a customer facing role leading a technical team of Data Engineers / Architects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent
• Extensive experience in Big Data (Spark, Hadoop ecosystem, Cassandra etc)
• Knowledge of AWS / Azure / GCP
• 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 fund
• Work headphones reimbursement
• Business travel insurance