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Azure Databricks provides tools that help you connect your sources of data to one platform to process, store, share, analyze, model, and monetize datasets with solutions from BI to generative AI.

Solutions Architect – Communications, Media & Entertainment

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks’ products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Communication, Media and Entertainment space.

The impact you will have:

  • Work with multiple clients as the main technical voice for Databricks
  • Lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • Implement the technical strategy in the account, in close understanding of the strategy
  • Build a movement of technical champions within the account
  • Align technical strategies around Databricks solutions
  • Provide structured mentorship for other team members
  • Gain the respect of your peers based on your experience, insight, and contributions

What we look for:

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account
  • 5+ years of experience working very large (> $1m ARR), global accounts
  • Form relationships with executives and influencers
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success
  • Technical in big data, data science and cloud
  • An ability in data-driven business transformation, and driving change with data
  • Production programming experience in Python, R, Scala or Java
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Nice to have: Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range
$139,900$247,300 USD
Zone 2 Pay Range
$139,900$247,300 USD
Zone 3 Pay Range
$139,900$247,300 USD
Zone 4 Pay Range
$139,900$247,300 USD

Manager, Security Engineering, Incident Response

The Incident Response team’s mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardized manner. We’re a tight-knit team of security analysts and incident responders located globally doing “Security for Databricks on Databricks”, using our own platform to create near-real-time log analytics, alerting and forensics.

We’re looking for a talented Security Engineering Manager who can bring their domain expertise and experience in managing a team of incident responders, lead complex investigation and impact analysis, develop new forensic capabilities and tools,  improve security operations efficiency through automation with SIEM and SOAR platforms.The position reports to Sr Mgr, Incident Response and it may include up to 50% of technical hands-on work as needed.

The ideal candidate is someone who can lead the team during investigations well even under pressure, engage with various stakeholders, communicate findings and investigations results to leadership, proactively build large scale projects for automation &  improvements for faster incident response and provide timely and actionable feedback to their team to continue raising the bar for Security at Databricks.

  • The impact you will have: 
  • Grow and develop the team reflecting the culture of Databricks culture principles as applied to their team, including in difficult situations. This also includes, but is not limited to, performance management and timely and actionable feedback, with minimal attrition.
  • Timely achieve IR targets (OKRs, KPIs and  initiatives) that improve our capabilities to respond and remediate security events faster. This will also require making effective priority decisions on resourcing and alignment within the team.
  • Maintain strong partnership with Detection & Response leadership and other teams in Security Org and Databricks (e.g.Engineering and IT)
  • Review and architect scalable and organized frameworks for security automation and orchestration and pre-investigation analysis and triage of alerts from various sources like detection pipelines, exploitable vulnerabilities and reports.
  • Perform crisis management using the Incident Management System (IMS). You will  lead investigations, engage with various stakeholders as necessary and communicate investigations to leadership and drive towards incident resolution.
  • Respond rapidly to new incidents as part of a distributed daytime operations and on-call schedule.

What we look for:

  • 7+ years of Security experience overall with a broad knowledge across the Security domain, demonstrating strong understanding of cybersecurity principles, technologies, and attack vectors, especially in Cloud Security (proficient at least in one major cloud vendor among AWS, Azure and GCP).
  • 5+ years of Incident Response experience with expertise in Incident Management and Incident Response tool development. Experience with security incident and event management (SIEM) tools, intrusion detection/prevention systems (IDS/IPS), endpoint detection and response (EDR) solutions and forensic analysis tools
  • 0-2 years of prior management experience or equivalent (demonstrated work leading teams of incident responders  or security experts)
  • Strong analytical and problem-solving abilities, with the ability to analyze complex security incidents and identify effective response strategies
  • Ability to work effectively in a fast-paced, dynamic environment and manage competing priorities
  • Ability to provide leadership and guidance to a team and to inspire and motivate their team and those around them
  • Proven ability to interview and consistently make high quality hiring decisions quickly

 

Zone 1 Pay Range
$152,200$269,300 USD

Senior Staff Software Engineer – Customer Engagement

We are hiring for a Front End or Full Stack Senior Staff Software Engineer/Principal Software Engineer for Databricks’ Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working on one the most important products here within Databricks while working with teams that develop Databricks products and features for thousands of enterprises worldwide as well. As a Senior Staff Software/Principal engineer, you will play a large part in the team for our multi-year journey to achieve our vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).

Key Characteristics

As an engineer at Databricks, the primary objective for this role is to contribute to Databricks’ pursuit of increasing the number of our monthly active users on our platform. The ideal candidate will possess the autonomy and influence to enact necessary changes within the product to support this overarching goal. Viewed as a significant and impactful position, it will involve engagement across all facets of the product.

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

  • Significantly influencing the direction and roadmap for the Databricks product.
  • Driving concrete initiatives and changes that directly impact key metrics like monthly active users.
  • Potentially replacing the level of input currently provided by leadership.
  • Stepping into a highly visible and impactful role within the engineering organization.
  • Taking ownership of technical design and implementation for various growth projects.

What we look for:

  • 15+ years industry experience building and supporting large-scale distributed systems.
  • Front-end development with full-stack capabilities would be ideal, indicating a strong understanding of user interface development as well as the ability to handle back-end services
  • Deep understanding of product and the ability to translate requirements technically.
  • Hands-on technical skills and a track record of delivering on projects.
  • Energy and initiative to take on new challenges rather than staying static.
  • Local presence in San Francisco Bay Area or Seattle
  • A growth hacking and user-centric mindset to drive optimization and new users.
  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.

Solutions Architect – Communication, Media & Entertainment

We are looking for experienced pre-sales professionals who have a successful track record of helping large enterprises become more data-driven. Working with the Account Executive, the Solution Architect defines and directs the technical strategy for our largest and most important customers, leading to more widespread and deeper adoption of data intelligence. We are seeking to expand our SA team with individuals who are hands-on and understand value selling to help our customers succeed using Databricks. You will be part of a team that builds proofs of concepts and demonstrates Databricks’ products within a range of use cases important to the Communications, Media & Entertainment space.

The impact you will have:

  • You will work with 2-6 customers as the main technical voice for Databricks
  • You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their digital strategy
  • You will drive the technical strategy within an account
  • Help customers become technical champions within their organization
  • Provide structured mentorship and collaboration for other team members

What we look for:

  • Experience working with large (> $1m ARR) customers, ideally from the Communications or Media & Entertainment industry
  • Interested in being hands-on and learning big data, data science, and cloud technologies
  • An ability to understand data-driven business transformation and drive change with data
  • Experience with design and implementation experience in big data technologies or full lifecycle data science solutions
  • Maintain and extend production data systems to evolve with complex customer needs
  • Programming exposure in SQL, Python, R, Scala, or Java
  • Nice to have: Databricks Certification

Updated: December 22, 2024 — 3:27 pm

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