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Databricks Sales Engineer Jobs (NOW HIRING)

Databricks Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (3 days onsite), w2 only, local candidates only ... Partner with Sales Operations and Finance teams to understand incentive plan rules and translate ...

$190K - $230K/yr

Pre-Sales Engineer Remote USA - East Coast About The Position As a Pre-Sales Engineer, you will be ... Databricks). Requirements What Makes You a Great Fit: Technical Requirements - * IAM Domain ...

NY ยท On-site

$130K - $170K/yr

Sales Engineer Syncari - Arizona, California, Colorado, Florida, Georgia, Illinois, Indiana ... Databricks, or similar. * Experience in Technical or Engineering Consulting preferred. * Working ...

Sales Engineer

California, MO ยท On-site

$130K - $170K/yr

Sales Engineer Syncari - Arizona, California, Colorado, Florida, Georgia, Illinois, Indiana ... Databricks, or similar. * Experience in Technical or Engineering Consulting preferred. * Working ...

Sales Engineer (Remote)

Brooklyn, NY ยท On-site +1

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Sales Engineer (NYC)

Manhattan, NY ยท On-site

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS ...

Sales Engineer (NYC)

Manhattan, NY ยท On-site

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS ...

Sales Engineer (Remote)

New York, NY ยท Remote

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Sales Engineer (NYC)

New York, NY ยท On-site

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Sales Engineer (NYC)

New York, NY ยท On-site

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Sales Engineer (NYC)

New York, NY ยท On-site

$100K - $130K/yr

Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Sales Engineer

New York, NY ยท On-site

$200K - $250K/yr

Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar * 3-10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering ...

We are seeking to hire a Sales Engineer. This new addition will play a crucial role in shaping the ... Databricks, Kubeflow, MLFlow, Kafka, Debezium, etc. * Experience designing/building solutions ...

$200K - $250K/yr

As a Sales Engineer, you will play a crucial role in driving the success of our cutting-edge xLake ... Hands-on experience with cloud platforms, including Databricks or Snowflake. * Hands-on experience ...

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Showing results 1-20

Databricks Sales Engineer information

See salary details

$43.5K

$96.2K

$149K

How much do databricks sales engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks sales engineer in the United States is $96,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is the difference between Databricks Sales Engineer vs Data Engineer?

AspectDatabricks Sales EngineerData Engineer
Primary RoleTechnical sales support, product demonstrations, client consultationsDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsTechnical knowledge of Databricks platform, communication, sales skillsProgramming, database management, ETL processes
Work EnvironmentPre-sales, client-facing, collaborative with sales teamsDevelopment-focused, technical environment, data teams

While Databricks Sales Engineers focus on supporting sales through technical demonstrations and client engagement, Data Engineers build and maintain data systems. Both roles require technical skills, but their core responsibilities differ significantly in purpose and daily tasks.

What are popular job titles related to Databricks Sales Engineer jobs?

For Databricks Sales Engineer jobs, the most frequently searched job titles are:

Infographic showing various Databricks Sales Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $96,194 per year, or $46.2 per hour.

Databricks Partner Development Manager

Atlanta, GA โ€ข On-site

KMS Technology
Software Developmentย โ€ขย 501 - 1,000 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

About KMS Technology

KMS Technology is a global AI firm helping enterprises modernize how work gets done through AI. We focus on intelligent workflows, cloud, data, and AI-native solutions. We partner with healthcare innovators, high-growth ISVs, and enterprises to design and build scalable platforms, modern applications, and agentic workflow systems that drive business outcomes.

Headquartered in Atlanta with global delivery centers across Vietnam, Mexico, and Poland, KMS combines deep AI engineering expertise with agility, and speed to help organizations accelerate innovation and re-architect enterprise operations for the AI-first era.

Backed by strategic investment from Sunstone Partners, KMS is a next-generation technology partner focused on workflow modernization, AI enablement, data fabric strategies, and outcome-driven transformation. Through strong partnerships with AWS, Databricks, and leading ecosystem players, we help clients unlock the full value of AI, cloud, and intelligent automation.

At KMS, our people-first culture is rooted in technical excellence, entrepreneurial thinking, and customer impact. We foster an environment where talented professionals can innovate, grow, and help shape the future of digital transformation.

Position Overview

We are seeking a high-impact, relationship-driven Databricks Partner Development Manager to lead and scale our strategic partnership within the Databricks ecosystem. This is a senior individual contributor role focused on driving alliance growth, increasing market visibility, unlocking partner-funded opportunities, and elevating KMSโ€™s standing within the Databricks partner ecosystem.

The ideal candidate has deep experience managing hyperscaler or data platform alliances, understands the Databricks ecosystem and GTM motion, and possesses a strong network across Databricks sales, partner, and solution engineering organizations.

Key Responsibilities Strategic Alliance Development
  • Develop and manage an annual Joint Business Plan (JBP) with Databricks leadership, including pipeline, bookings, certifications, competencies, and GTM objectives
  • Own and expand the strategic partnership relationship with Databricks across sales, alliances, marketing, and field leadership.
  • Develop and execute a multi-year Databricks ecosystem growth strategy aligned to KMS revenue and AI transformation goals.
  • Identify and drive initiatives that elevate partner tier/status, competencies, certifications, and co-sell alignment within the Databricks ecosystem.
  • Build executive-level relationships with Databricks regional leaders, account executives, partner managers, and solution architects.
Revenue & Pipeline Generation
  • Lead Strategic Account Mapping exercises with Databricks Field Team
  • Identify, source, and influence co-sell opportunities with Databricks field teams.
  • Create pathways to partner-funded programs including workshops, assessments, migration initiatives, accelerators, and innovation engagements.
  • Drive partner-sourced and partner-influenced pipeline through account mapping, Joint opportunity planning, strategic pursuits and co-ordinated field engagement with Databricks sales team.
Ecosystem & Market Expansion
  • Position KMS as a premier Databricks implementation, AI, and data engineering partner.
  • Coordinate joint GTM motions including webinars, customer events, executive briefings, industry campaigns, and marketplace initiatives.
  • Monitor Databricks ecosystem trends, partner priorities, funding programs, and strategic initiatives to identify new growth opportunities.
  • Represent KMS at Databricks events, partner summits, conferences, and industry forums.
  • Establish executive governance through executive interlocks, and regional operating cadences.
Internal Enablement & Execution
  • Partner with delivery, architecture, marketing, and sales teams to develop repeatable offerings aligned to Databricks priorities.
  • Develop repeatable Co-sell motion and sales play focussed on Help shape solution accelerators and service offerings around AI, data modernization, lakehouse transformation, analytics, and enterprise AI.
  • Drive internal enablement around Databricks messaging, programs, certifications, and competitive positioning.
  • Establish KPIs and executive reporting around alliance performance, pipeline contribution, certifications, and partner engagement.
Required Experience
  • 7+ years of experience in strategic alliances, partner development, ecosystem management, or enterprise technology sales.
  • Direct experience managing or growing partnerships with Databricks, hyperscalers, or major cloud/data platform ecosystems.
  • Demonstrated success driving co-sell revenue, partner-sourced pipeline, and ecosystem growth exceeding $10M+ annually.
  • Strong understanding of enterprise data, analytics, AI/ML, cloud modernization, and digital transformation initiatives.
  • Experience navigating complex enterprise sales organizations and executive stakeholder environments.
  • Experience developing Joint Business Plans, executive governance models, and co-sell operating frameworks.
  • Proven ability to influence without authority across sales, delivery, and executive leadership teams.
  • Experience working within Global Systems Integrators, consulting firms, or technology services organizations
Preferred Experience
  • Existing network and relationships within the Databricks field organization.
  • Experience working within consulting, professional services, systems integrators, or technology services organizations.
  • Familiarity with partner program structures, MDF/funding mechanisms, competency programs, and marketplace strategies.
  • Understanding of modern data architectures including Lakehouse, AI platforms, GenAI, data engineering, and cloud-native analytics.
What Success Looks Like
  • Increase sourced and influenced Databricks-related pipeline.
  • Expand executive alignment and field engagement with Databricks leadership.
  • Unlock partner-funded opportunities and joint GTM investments.
  • Improve partner tier/status and ecosystem visibility.
  • Position KMS as a recognized strategic Databricks services partner in AI and data transformation.
Why Join KMS

This is a unique opportunity to help shape a high-growth AI and data transformation practice while building one of KMS Technologyโ€™s most strategic ecosystem partnerships. You will work alongside executive leadership and play a pivotal role in driving market impact, revenue growth, and ecosystem influence.

Why Youโ€™ll Love It Here

KMS has been named a Best Place to Work by the Atlanta Business Chronicle and a thirteenth-time Best & Brightest Company to Work Forยฎ. We offer:

  • 100% company-paid Medical, Dental & Vision insurance
  • 401(k) with generous company match
  • Pre-tax FSA options
  • Employer Paid Short Term Disability, Long Term Disability, and Basic Life Insurance
  • Self-managed Unlimited PTO + Paid Parental Leave
  • Remote/hybrid flexibility
  • Opportunities for career growth, mentorship, and leadership
  • Target OTE + Benefits is $250,000 - $300,000 annually

If you thrive in high-stakes conversations, love solving business-critical challenges, and want to sell services that truly drive impactโ€”we want to meet you.

KMS Technology is proud to be an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive environment for all employees. We do not discriminate in hiring or any employment decision based on race, color, genetic profile, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), martial status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other characteristics protected by law.

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