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Databricks

Builds cloud software for data analysis and AI

Manager Forward Deployed Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

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 or Architects.
  • Extensive experience in the Big Data ecosystem, including Spark, the Hadoop ecosystem, and Cassandra.
  • Knowledge of AWS, Azure, or GCP.
  • Proven documentation skills and strong project management experience.
  • Ability to manage multiple engagements while delivering high customer satisfaction.
  • Experience estimating effort and scope for services.
  • Ability to partner with business stakeholders and understand customer business issues and likely big data use cases across industries.

Responsibilities

  • Hire people and provide technical guidance, career development, and mentoring to team members.
  • Participate in key technical and design discussions with technical leads as a hands-on manager.
  • Lead development of intellectual property, reusable tooling, and assets for field professional services teams and partners.
  • Partner with business stakeholders to prioritize work and create products supporting the 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 regarding delivery and escalate technical and business issues to other parts of Databricks as needed.
  • Provide input to improve internal processes and customer success service offerings.
  • Build and leverage customer relationships throughout the sales and delivery process.

Desired Qualifications

  • Knowledge of the Databricks ecosystem.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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