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Databricks Vp Jobs in Paramus, NJ (NOW HIRING)

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 ...

Chasm Select

VP Cloud Data Engineering

New York, NY · Remote

$184K - $237K/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 ...

Shelf

VP of Marketing & GTM Strategy

New York, NY

We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by ... Reporting directly to the CEO, the VP of Marketing & GTM Strategy will be responsible for defining ...

Shelf

VP of Marketing & GTM Strategy

New York, NY · On-site

We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by ... Reporting directly to the CEO, the VP of Marketing & GTM Strategy will be responsible for defining ...

Flagler Health

Vice President, Engineering

New York, NY · Remote

$184K - $237K/yr

As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while ... Experience with distributed data or batch processing frameworks (e.g., Apache Spark, Databricks, or ...

Flagler Health, Inc

Vice President, Engineering

New York, NY · On-site

$196K - $253K/yr

As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while ... Experience with distributed data or batch processing frameworks (e.g., Apache Spark, Databricks, or ...

Dentsu, Inc.

VP, AI Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

As VP of AI Solutions Architecture, you will be the technical authority who translates cutting-edge ... Databricks, and Snowflake. * Apply a range of AI techniques, including large language models (LLMs ...

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All JobsDatabricks Vp JobsDatabricks Vp Jobs in Paramus, NJ

Databricks Vp information

See Paramus, NJ salary details

$44K

$159.4K

$280.8K

How much do databricks vp jobs pay per year?

As of Jul 26, 2026, the average yearly pay for databricks vp in Paramus, NJ is $159,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $192,300.00 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.
What job categories do people searching Databricks Vp jobs in Paramus, NJ look for? The top searched job categories for Databricks Vp jobs in Paramus, NJ are:
Databricks Vp jobs near you
Infographic showing various Databricks Vp job openings in Paramus, NJ as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $159,410 per year, or $76.6 per hour.

VP Cloud Data Engineering

Chasm Select

New York, NY • On-site, Remote

$196K - $253K/yr

Full-time

Posted 9 days ago

Job description

Description
ChasmTeam
Confidential Search - VP Cloud Data Engineering
November 10, 2025
About the Role:
As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams, driving innovation and excellence in software, data, and AI. You won't just manage; you'll inspire and empower geographically diverse teams to achieve ambitious goals. Collaborating closely with quality engineers, product owners, and business leaders, you'll oversee the seamless operation of engineering processes to ensure our business objectives are not only met but exceeded. Your leadership will set the tone for success by fostering growth, providing constructive feedback, and unlocking the full potential of our teams.
You will also partner with our visionary CTO on strategic initiatives that shape the future of the company. From scaling our engineering organization to meet evolving needs, to identifying transformative opportunities for innovation and growth, you'll be a key player in steering the company into its next chapter of excellence.
You Will:
  • Communicate boldly and confidently to resonate with executive teams and inspire trust across the organization.
  • Spearhead critical internal initiatives in Quality, Data and Product Engineering, AI, Development Productivity, and Benchmarking.
  • Leverage your deep expertise in Data and AI to establish yourself as a thought leader.
  • Navigate high-stakes customer interactions with credibility and professionalism.
  • Mentor and develop talent, ensuring adherence to architectural strategies, coding standards, and organizational policies.
  • Contribute to and influence software architectural discussions, advocating for consistency and excellence at every level.
  • Identify opportunities to enhance people, processes, and performance within Agile/Scrum teams.
  • Evolve the team's organizational structure for scale (towards upwards of 100 engineers).
  • Commit to securing all confidential data, adhering to the highest standards of data protection, and promoting ethical practices across the team's operations.

What We're Looking For:
  • Bachelor's degree in Computer Science or an equivalent field, advanced degree a plus
  • 15+ years of experience as a software developer, within a minimum of 5 years managing large, global software development teams
  • Solid understanding of software engineering fundamentals with a high level understanding of OO concepts, design patterns, cloud architecture, AI architecture and concepts, MPP architecture and frameworks such as Spark, API's, etc.
  • Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s to 100s of TBs of data)
  • Possess a level of breadth and depth of software development experience that allows for influence and competence in technical discussions with internal and external stakeholders
  • Proven record of success of leading engineering teams towards developing production grade systems supporting enterprise size customers
  • Strong technical experience in Databricks, Snowflake, and FHIR
  • Prior experience working with healthcare data a requirement

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