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Databricks Jobs in Naperville, IL (NOW HIRING)

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · On-site

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

Job Title Azure Databricks Data Engineer Estimated Start Date 3/10/2025 Location Chicago, IL~Dallas,TX Duration(Months) 6 Months Remote Possibility Onsite Overall 6+ years of experience as developer ...

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Databricks information

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$23.5K

$37.7K

$50.9K

How much do databricks jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks in Naperville, IL is $37,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $41,400.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are popular job titles related to Databricks jobs in Naperville, IL?

For Databricks jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Naperville, IL look for?

The top searched job categories for Databricks jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Databricks jobs?

Cities near Naperville, IL with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Naperville, IL as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $37,658 per year, or $18.1 per hour.

Alliance Manager - Databricks, Google Cloud & Snowflake

Resultant

Chicago, IL • On-site, Remote

$117K - $120K/yr

Full-time

Posted 4 days ago

Job description

Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don't solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they're striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We're Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
Partner Relationship Management
Your most important asset is the quality of your named relationships inside each partner's field organization. This is not a transactional inbox-management role; it is a sustained relationship-building mandate across three platforms.
  • Databricks: Establish and maintain named counterparts with commercial and public sector AEs, SEs, Channel Account Managers, and Practice Leads across sports and gaming, financial services, healthcare, manufacturing, and state/local government verticals. Make Resultant the first call when a Databricks field rep needs a data and AI implementation partner.
  • Google Cloud Platform: Build active relationships with Google Cloud Partner Development Managers, Customer Engineers, and field AEs across Workspace, Cloud infrastructure, and GCP-native AI/data services (BigQuery, Vertex AI, Looker, Apigee). Maintain coverage across both commercial and public sector (SLED, federal-adjacent) field teams.
  • Snowflake: Develop relationships with Snowflake Channel AEs, Solution Engineers, and industry GTM leads. Keep Resultant active in Snowflake's partner ecosystem through joint account planning and consistent co-sell activity.
  • Across all three: Coordinate monthly or bi-weekly touchpoints with partner counterparts. Maintain an updated relationship map of named contacts at each partner, tracked in HubSpot.

Co-Sell Operations & Pipeline Origination
  • Register and manage opportunities in each partner's portal - Databricks Partner Connect, Google Cloud Partner Advantage, and Snowflake Partner Network - with clean deal-registration discipline from first contact through close.
  • Originate partner-sourced pipeline through proactive account mapping, field team co-selling, joint QBRs, and presence at partner-hosted events. Own a quarterly partner-sourced pipeline contribution target.
  • Accelerate partner-influenced deals already in Resultant's pipeline by engaging the right partner field resources - AEs, SEs, Customer Engineers, and industry specialists - at the right stage.
  • Build and execute joint account plans with each partner's field team for top target accounts across commercial and public sector, updated quarterly.
  • Run a recurring pipeline review cadence with Resultant's AEs and BD team per partner, keeping partner-sourced and partner-influenced deals clearly tagged by origin in HubSpot.
  • Drive marketplace transactions via Google Cloud Marketplace, Snowflake Marketplace, and Databricks' marketplace integrations, aligned to each vendor's 2026 consumption-driven priorities.

Partner Portal & Program Management
Partner portal and program management is a core competency of this role, not an administrative afterthought. Tier status, competency certifications, and program compliance directly determine the quality of co-sell access and co-marketing investment Resultant can unlock.
  • Databricks (Brickbuilder Program): Drive advancement toward Silver and Gold tier. Manage Partner Value Score (PVS) mechanics - the Customer Impact, Technical Expertise, and Go-to-Market pillars. Coordinate DCIF deal funding requests. Track and maintain required Databricks certifications across Resultant's practice. Maintain deal-registration discipline and opportunity acceptance rates.
  • Google Cloud (Cloud Partner Advantage / GCPN 2026): Maintain Google Cloud Premier Partner status. Manage Workspace and Cloud ownership and compliance. Drive specialization qualifications (Data & AI, Infrastructure, Security, Workspace). Coordinate Digital Rewards Program (DRP) compliance. Support the PS-to-MS structural reporting requirements.
  • Snowflake (Snowflake Partner Network): Maintain active partner status. Drive competency designations. Manage certification requirements for Resultant's Snowflake practitioners. Track co-sell activity and partner-sourced pipeline attribution within Snowflake's portal.
  • Across all three: Own the partner portal calendars - renewal dates, tier review cycles, program requirement deadlines. Coordinate with Resultant's delivery, SA, and L&D teams to meet certification requirements on schedule.

Internal Enablement & Sales Alignment
  • Run joint pipeline reviews with Resultant's AEs and BD team per partner - monthly minimum, weekly during active co-sell cycles.
  • Keep Resultant's sales and delivery teams current on each partner's programs, GTM priorities, and co-sell tools. Deliver partner-specific enablement sessions quarterly.
  • Build and maintain partner-facing collateral - one-pagers, solution briefs, case studies, and reference stories - tailored to commercial and public sector verticals and kept current in each partner's portal.
  • Coordinate credit-sharing and attribution rules between the alliance function and direct AEs - documented, agreed, and enforced at the start of each quarter so the alliance function's contributions are visible and credited.
  • Represent Resultant at partner events, including Google Cloud Next, Databricks Data + AI Summit, Snowflake Summit, and vertical industry conferences (Money20/20, HLTH, Gartner Data & Analytics, state government CIO forums).

Qualifications
  • 7+ years of progressive partner, alliance, or channel management experience at a data, cloud, or analytics services firm - or in a partner-facing role inside Databricks, Google Cloud, or Snowflake.
  • Active named relationships inside at least one - ideally two - of Databricks, Google Cloud, and Snowflake's field organizations. You know the Channel AMs, PDMs, and field AEs by name.
  • Hands-on portal fluency: you have worked inside Databricks Partner Connect, Google Cloud Partner Advantage, and/or Snowflake Partner Network and understand deal registration, competency management, and tier mechanics from direct experience.
  • Demonstrated partner-tier advancement - you have driven a firm from one tier to the next, coordinated the certification and competency requirements, and unlocked the co-sell and co-marketing benefits that come with it.
  • CRM and pipeline discipline: you tag lead source at origination, distinguish partner-sourced from partner-influenced, and run clean pipeline reviews. HubSpot experience preferred.
  • Public sector familiarity: experience supporting state/local government, health and human services, education, or courts clients through a partner ecosystem is a meaningful differentiator.
  • Cross-functional credibility: you can run a pipeline review with AEs in the morning and a technical certification planning session with SAs and delivery leads in the afternoon. Both trust you.
  • Willingness to travel up to 40% - partner QBRs, Databricks/GCP/Snowflake field events, industry conferences, and Resultant offices in Indianapolis and Atlanta.

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.

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