Sr. Solutions Architect – Agencies

Remote from: USA
Salary, yearly, USD: 219,100 - 301,300
Department: Software Engineering
Employment type: Full Time,
Job posted: 11 Jun 2026
Apply before: 11 Jul 2026
Experience level: Senior
Views / Applies: 16 / 5

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 Senior Solutions Architect to lead customer engagement strategies, coach junior team members, and act as a trusted advisor for data analytics architecture. This role involves influencing C-level executives, developing technical champions, and contributing to the technical community through workshops and meet-ups. The ideal candidate has 7+ years of customer-facing technical experience, proficiency in coding languages like Python, and expertise in cloud platforms. This is a high-impact position at a leading data and AI company, offering competitive compensation and opportunities for growth.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight This role requires extensive experience, technical expertise, and the ability to influence executives, making it highly challenging.

Salary Analysis

AI Insight The offered salary range of $219,100 to $301,300 is well above the typical market range for a Senior Solutions Architect, which generally falls between $130,000 and $250,000. This reflects Databricks' competitive compensation strategy and the high demand for experienced architects.

Key Skills

Data Engineering Cloud Architecture Pre-Sales Customer Engagement Spark Python Machine Learning Big Data Solutions Architecture Technical Leadership

Cover Letter Sample

I am excited to apply for the Senior Solutions Architect position at Databricks. With over 7 years of customer-facing technical experience, I have successfully led complex engagements and built trusted relationships with C-level executives. My expertise in Python, cloud platforms, and data architectures aligns perfectly with the requirements of this role. I am eager to contribute to Databricks' mission of making data accessible and impactful.

Possible Interview Questions

Describe a time you influenced a C-level executive to adopt a technical solution.

At my previous company, I convinced the CIO to migrate our data warehouse to the cloud by presenting a cost-benefit analysis and a proof-of-concept that reduced query times by 50%. I built a strong business case and addressed security concerns, leading to a successful adoption.

How do you handle a competitive situation during a sales cycle?

I focus on understanding the customer's unique pain points and demonstrate how our solution specifically addresses them. I also highlight total cost of ownership and long-term value, while staying updated on competitor weaknesses to differentiate effectively.

Explain how you would architect a data pipeline for a large enterprise customer.

I would start by understanding data sources, volume, and latency requirements. Then design a scalable pipeline using Databricks for processing, Delta Lake for storage, and orchestration tools like Airflow. I ensure data governance and security are integrated from the start.

How do you stay updated with new technologies in the data space?

I regularly attend industry conferences, take online courses, and participate in technical communities like Spark and Kafka meetups. I also allocate time for hands-on experimentation with new tools to understand their practical applications.

Can you walk me through how you would conduct a proof of concept for a potential client?

I start by identifying the client's primary business challenge and key success metrics. Then I design a focused PoC that addresses that challenge using real data, ensuring rapid iteration and clear communication of results. I involve the client's technical team to build buy-in and provide a roadmap for production deployment.

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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:

7+ 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 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 anticipates 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

$219,100—$301,300 USD

Zone 2 Pay Range

$219,100—$301,300 USD

Zone 3 Pay Range

$219,100—$301,300 USD

Zone 4 Pay Range

$219,100—$301,300 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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