Databricks

Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.

1001-5000 employees
Founded 2013
$684.6M series i
Artificial Intelligence (AI)
Private Company

Open Positions23

Remote - Washington D.C.Full-TimeData and AIPosted
  • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account
  • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts
  • Create, own, and execute a point-of-view as to how key use cases can be accelerated into production
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression
PythonSQLBusiness Analysis+3 more
Showing 1 of 23 positions

About Databricks

Databricks transforms how businesses use data and AI. They pioneered the Lakehouse architecture, which combines the strengths of data warehouses and data lakes into a single, unified platform. This innovative approach helps organizations process and analyze massive datasets, accelerating data science, machine learning, and collaborative workflows. More than 10,000 organizations globally, including over 60% of the Fortune 500, rely on Databricks to manage their data and drive AI initiatives. Their platform integrates with major cloud services like Amazon and Google Cloud, providing a flexible and scalable solution for data management and analysis.

How We Work

Databricks fosters a culture of transparency, collaboration, and accountability. You'll find a direct and fast-paced environment where data-driven decisions are paramount. Leadership actively engages with employees through weekly CEO AMA sessions, promoting open communication. The company emphasizes teamwork and provides opportunities for individuals to "own it" and make a significant impact. While the pace is often aggressive, the focus remains on delivering customer value and continuously raising the bar.

Engineering at Databricks

Databricks was founded by the original creators of Apache Spark™, Delta Lake, and MLflow, shaping the foundation of modern data and AI infrastructure. Their platform tackles complex challenges in data engineering, from managing massive data volumes and real-time processing to ensuring data quality and governance. Engineers at Databricks work on building secure, scalable, and elegant solutions for multi-tenant architectures, focusing on identity, authorization, and cryptographic trust boundaries. You'll contribute to an ecosystem that simplifies the development and deployment of machine learning models, integrating with popular libraries like TensorFlow, PyTorch, and Scikit-learn.

Why Join Us

  • Drive innovation by contributing to a platform trusted by over 10,000 organizations, including major enterprises across diverse industries.
  • Shape the future of data and AI by working with cutting-edge technologies like Apache Spark™, Delta Lake, and MLflow.
  • Collaborate in a transparent and data-driven culture that values accountability and empowers you to make a real impact.
  • Join a rapidly growing company with a strong track record of success and significant investment in its workforce.
  • Develop your skills in a dynamic environment that addresses complex data engineering and machine learning challenges at scale.

Benefits & Perks

  • Comprehensive health coverage (medical, dental, vision, HSA, FSA).
  • Retirement benefits including a 401(k) plan.
  • Company equity and employee stock purchase plan.
  • Paid parental leave and fertility benefits.
  • Flexible time off policy.
  • Annual personal development fund.
  • Employee assistance program for mental health support.
  • Gym/wellness reimbursement ($250 per month).
  • Home office equipment reimbursement (up to $500).
  • Workplace headphones reimbursement (up to $300).

Tech Stack

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