WFH.teamOpen appSalary not listed
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
12+ years stated
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Manager of a forward-deployed engineering team, hiring and mentoring data engineers and architects while overseeing customer engagements and technical delivery. The listing says remote in India and specifies Bengaluru as the expected base. Requires 12+ years of industry experience, including 6+ years in customer-facing work and 4+ years leading a technical data team.
Customer success, Data, Design and creative, DevOps, Healthcare admin, Product, Sales, Software, Customer support
India
Timezone overlap is not stated.
Manager · full_time
- Required timezone overlap is not stated
- Compensation is not listed
Customer success hiring on WFH.team
Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketManager, Forward Deployed Engineering at Databricks
CSQ227R28
As a Manager (Forward Deployed Engineering) , 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 fund
- Work headphones reimbursement
- Business travel insurance
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Working remotely at Databricks
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
- Headquarters
- United States, Canada, United Kingdom, Netherlands, Singapore, Australia, Germany, France, India, Japan, China, Brazil, and Sweden
- Team size
- 1001-5000
- Founded
- 2013
Remote hiring signal is inferred from active confirmed-remote job listings.
Review current openings on Databricks's official careers page before applying.