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Databricks Vp Jobs (NOW HIRING)

Berkley

VP, Controller

Minneapolis, MN · On-site

$160K - $190K/yr

The VP, Controller is a hands-on, detail-oriented leader who challenges existing processes ... Databricks * Strategic and innovative thinking, creative problem solving, data driven * Exceptional ...

Berkley

VP, Controller

Minneapolis, MN

$160K - $190K/yr

The VP, Controller is a hands-on, detail-oriented leader who challenges existing processes ... Databricks * Strategic and innovative thinking, creative problem solving, data driven * Exceptional ...

Berkley

VP, Controller

Minneapolis, MN · On-site

$160K - $190K/yr

The VP, Controller serves as the organization's senior accounting leader and a key member of the ... Databricks * Strategic and innovative thinking, creative problem solving, data driven * Exceptional ...

Chasm Select

VP Cloud Data Engineering

New York, NY · On-site +1

$196K - $253K/yr

As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams, driving ... Strong technical experience in Databricks, Snowflake, and FHIR * Prior experience working with ...

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All JobsDatabricks Vp Jobs

Databricks Vp information

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$43.5K

$157.5K

$277.5K

How much do databricks vp jobs pay per year?

As of Jul 2, 2026, the average yearly pay for databricks vp in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

Is Databricks a prestigious company to work for?

As a VP at Databricks, the company is considered a leading player in data analytics and cloud computing, known for its innovative platform and strong industry reputation. Working there often involves collaboration with top-tier clients and requires expertise in big data tools like Apache Spark. The company's reputation can enhance a professional's career prospects in the tech industry.

What are the main leadership challenges faced by a VP at Databricks, and how can candidates prepare to address them?

As a VP at Databricks, you’ll be expected to lead cross-functional teams while driving innovation in a rapidly evolving data and AI landscape. Common challenges include balancing strategic vision with day-to-day operational demands, managing large teams across diverse geographic locations, and ensuring strong alignment between engineering, product, and go-to-market initiatives. Candidates can prepare by developing strong communication and change management skills, gaining experience in scaling teams, and staying well-versed in data and cloud technology trends. Building a track record of fostering collaboration across technical and non-technical stakeholders is also highly beneficial.

Is Databricks a high paying job?

A Databricks VP typically earns a high salary, often exceeding six figures, due to the seniority and specialized skills required for leadership roles in data platform companies. Compensation may include base salary, bonuses, and stock options, reflecting industry standards for executive positions in technology firms.

Is Databricks going to go IPO?

As of now, Databricks, where a VP role may be involved in cloud data platform management, has not officially announced an IPO. The company has raised significant funding and is considered a private, high-growth enterprise, but any plans for an initial public offering have not been publicly confirmed. Job seekers should monitor official company communications for updates on IPO plans.

What is the difference between Databricks Vp vs Data Engineer?

AspectDatabricks VpData Engineer
Required CredentialsAdvanced degrees, leadership experience, cloud platform certificationsBachelor's or master's in CS, data management certifications often preferred
Work EnvironmentStrategic, leadership-focused, overseeing teams and projectsTechnical, hands-on data pipeline development and management
Employer & Industry UsageTech companies, cloud service providers, enterprise data teamsData-driven organizations, analytics teams, IT departments

The Databricks Vp typically focuses on strategic leadership, overseeing data initiatives and teams, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

How much does a VP at Databricks make?

A Vice President (VP) at Databricks typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Compensation varies based on experience, location, and specific responsibilities within the company.

What does a Databricks VP do?

A Databricks VP (Vice President) is a senior executive responsible for leading strategic initiatives, managing teams, and driving business growth in their area of expertise, such as sales, engineering, or product development. They collaborate with other leaders to set company goals, oversee critical projects, and ensure alignment with the organization’s overall vision. The VP also plays a key role in building relationships with clients, partners, and stakeholders to expand Databricks’ market presence. Their leadership helps guide the company’s success in the fast-evolving field of data analytics and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Databricks VP, and why are they important?

To thrive as a Databricks VP, you need substantial experience in enterprise technology leadership, deep knowledge of data analytics, and a proven track record in driving business growth, often supported by an advanced degree in business or computer science. Familiarity with cloud platforms (like AWS, Azure), Databricks’ unified analytics platform, and proficiency in data engineering tools are crucial, along with understanding industry certifications. Exceptional leadership, strategic vision, stakeholder management, and communication skills are vital soft skills that set top performers apart in this executive role. These skills ensure alignment between technology and business objectives, drive innovation, and maintain competitive advantage in the data analytics industry.
More about Databricks Vp jobs
What cities are hiring for Databricks Vp jobs? Cities with the most Databricks Vp job openings:
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
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What job categories do people searching Databricks Vp jobs look for? The top searched job categories for Databricks Vp jobs are:
Databricks Vp jobs near you
Infographic showing various Databricks Vp job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
PBG Strats Mortgage Strategist - Vice President/Assistant Vice President

PBG Strats Mortgage Strategist - Vice President/Assistant Vice President

Morgan Stanley

New York, NY • On-site

$85K - $140K/yr

Full-time

Posted 4 days ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

39th of 146 rated financial services

Job description

Morgan Stanley's PBG Strats group is seeking an Assistant Vice President/Vice President level Mortgage Strategist. PBG Strats models a wide range of financial products including bank deposits, mortgage lending, retail and margin lending, and other investment securities. We are looking for a qualified individual to join our fast-paced, collaborative environment.
This role combines mortgage model development, performance monitoring, risk analytics, model implementation, and production support. The successful candidate will develop and enhance mortgage product models - including New Origination Volume, Ratelock Pipeline, Prepayment and Default models - as well as associated risk analytics. The role partners closely with portfolio managers, product stakeholders, and technology teams to deliver robust models and tools into production.
Responsibilities:
  • Develop and enhance mortgage product models for New Origination, Ratelock Pipeline, Prepayment and Default probabilities using advanced statistical and quantitative techniques; conduct model diagnostics, back-testing, and documentation to support model governance.
  • Engineer, curate, and analyze large-scale, multi-source datasets (loan-, borrower-, and macro-level) to identify drivers of behavior, validate assumptions, and improve model performance.
  • Build model performance monitoring and reporting tools.
  • Implement models into analytics platforms used for pricing, valuation, and risk calculations; optimize for scalability, accuracy, and runtime performance.
  • Support model execution across QA/UAT/Production environments, including troubleshooting, debugging, and ongoing production support.
  • Ensure adherence to internal model risk standards and regulatory requirements, including CCAR-related governance and reporting needs.

Required Skills:
  • Advanced degree (Ph.D. preferred) in a quantitative field (STEM), with a focus on Statistics / Data Science preferred, or equivalent relevant experience.
  • Strong programming skills in Python (including PySpark) for data analysis, modeling workflows, and automation.
  • Strong C++ development experience and debugging skills.
  • Strong database and data platform experience (SQL; Databricks and Snowflake; plus platforms such as Dataiku).
  • Familiarity with fixed-income instruments; mortgage expertise strongly preferred.
  • Experience supporting applications/models across SDLC environments (QA/UAT/PROD) and applying operational best practices.
  • Excellent communication, collaboration, and relationship-management skills, including the ability to engage senior stakeholders in both written and verbal formats.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Vice President
Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Assistant Vice President
Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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