Solutions Architect – Sports

Remote from: USA
Salary, yearly, USD: 180,000 - 247,500
Department: Software Engineering
Employment type: Full Time,
Job posted: 11 Jun 2026
Apply before: 11 Jul 2026
Experience level: Senior
Views / Applies: 16 / 3

About company

About Databricks

All your data, analytics and AI on one lakehouse platform

Computer Software
2013

Actively Hiring

AI Summary

Databricks is seeking a Solutions Architect for the sports industry to lead customer engagement strategies and coach junior team members. The role involves using technical expertise in data analytics and cloud platforms to demonstrate the value of the Databricks Data Intelligence Platform. You will influence C-level executives and work closely with account executives to drive customer success. This position offers opportunities for growth in technical specialization, industry leadership, or management tracks. Ideal candidates have 5+ years of customer-facing experience and proficiency in Python, Java, or Scala.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires deep technical expertise in data analytics, cloud platforms, and coding, along with strong customer-facing and coaching skills, making it highly challenging.

Salary Analysis

AI Insight The offered salary range of $180,000 - $247,500 is competitive for a Solutions Architect role, aligning with top tech companies. The median of $213,750 is above the market average, reflecting the specialized skills required.

Key Skills

Data Analytics Cloud Computing Pre-Sales Customer Engagement Apache Spark Python Java Technical Leadership Solution Architecture Sports Industry

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Solutions Architect - Sports position at Databricks. With over 5 years of customer-facing technical experience and expertise in data analytics and cloud platforms, I am confident in my ability to drive customer success.

My experience includes coaching teams and influencing C-level executives, aligning with the role's requirements. I am passionate about leveraging Databricks' Data Intelligence Platform to solve complex challenges in the sports industry.

Thank you for considering my application.

Possible Interview Questions

How do you approach a complex customer engagement in a pre-sales capacity?

I start by deeply understanding the customer's business objectives and pain points. Then, I map their needs to Databricks' capabilities, demonstrating value through tailored demonstrations and proof-of-concepts. I ensure alignment with stakeholders and continuously iterate based on feedback.

Describe a time you coached a junior team member on technical sales.

In my previous role, I mentored a junior architect by guiding them through a challenging customer engagement. I provided frameworks for discovery calls, reviewed their technical demos, and gave constructive feedback. The team member gained confidence and successfully closed the deal.

How do you handle competing priorities from multiple stakeholders?

I prioritize based on business impact and urgency. I communicate openly with stakeholders to manage expectations and negotiate timelines when necessary. I also leverage cross-functional team support to ensure key deliverables are met without compromising quality.

Explain a complex proof-of-concept you led and its outcome.

I led a PoC for a large retail client, integrating their data from multiple sources into Databricks for real-time analytics. The PoC demonstrated a 40% reduction in query latency and enabled new customer insights, resulting in a multi-year contract.

How do you stay updated with cloud and data technologies?

I regularly attend industry conferences, participate in online courses, and engage with the Databricks community. I also experiment with new features in sandbox environments and apply learnings to customer engagements.

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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
Be a ‘champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
Contribute to Databricks’ technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Opportunity to continue your development in one of four tracks – technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

5+ years of customer-facing technical experience.

Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Can travel up to 30% when needed.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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

$180,000—$247,500 USD

Zone 2 Pay Range

$180,000—$247,500 USD

Zone 3 Pay Range

$180,000—$247,500 USD

Zone 4 Pay Range

$180,000—$247,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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