Level

Databricks

Manager, Forward Deployed Engineering

Databricks is hiring a Manager, Forward Deployed Engineering for a remote role open to applicants in India. Level rates it ; you can apply on Databricks.

Level's read on this job

  • On Level's scale, this forward deployed engineer role is Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions Spark, Hadoop and Cassandra among its tools and skills.
  • Level classes it as a lead role.
  • Databricks has 894 other open roles on Level.

AI in this role

Manage a team of forward deployed data engineers supporting customers on their Databricks and big data journey.

sparkhadoopcassandraawsazuregcp
team-managementbig-datadata-engineeringconsulting
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.

How we rate this

Manager, Forward Deployed Engineering at Databricks rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Team ManagementBig DataData EngineeringConsultingSparkHadoopCassandraAWS

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. Tell me about a project where team management was part of your work. What did you do?
  2. Tell me about a project where big data was part of your work. What did you do?
  3. Tell me about a project where data engineering was part of your work. What did you do?
  4. Tell me about a project where consulting was part of your work. What did you do?
  5. Walk me through how you've used Spark in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Team Management, Big Data, Data Engineering, Consulting, and Spark. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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