Sr. Solutions Architect - Digital Native Business (Strategic Accounts)
Drive technical strategy and executive relationships as a Sr. Solutions Architect for Databricks' Digital Native Business.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Drive technical and consumption strategy
- Own senior-level technical relationships
- Lead complex architecture engagements
- Coach and develop junior SAs
- Contribute to Field Engineering thought leadership
Must have
- 8+ years in solutions architecture or senior customer-facing technical role
- Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark
- Deep expertise in enterprise data architecture
- Expert-level Databricks Platform knowledge
- Proven track record of driving consumption growth
Nice to have
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft
- Published thought leadership
- Strategic account expertise
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Sr. Solutions Architect at Databricks, the individual will engage with complex strategic customer accounts, driving technical and consumption strategies to enhance platform adoption. Key skills include expert-level coding in Python and SQL, alongside deep knowledge of enterprise data architecture and the Databricks platform. This position is ideal for seasoned professionals with a strong background in solutions architecture and a proven ability to influence senior stakeholders. The role also involves mentoring junior team members and contributing to thought leadership initiatives.
Joblaze insights
- Listed yesterday on Joblaze — tracked directly from Databricks's career page.
- Databricks has 937 other open roles including AI Forward Deployed Engineer - France, AI Forward Deployed Engineer - Germany, デリバリーソリューションアーキテクト.
- 6595 active Python roles on Joblaze right now.
- 2301 active SQL roles on Joblaze right now.
- 373 active Spark roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 87% of the 3253 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Sr. Solutions Architect - Digital Native Business (Strategic Accounts) role remote?
- Yes — Databricks lists this as a fully remote position.
- What's the salary range?
- Databricks lists $219,100–$301,300 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Sr. Solutions Architect - Digital Native Business (Strategic Accounts) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, PySpark, Python, SQL, Spark.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Solutions Architect - Digital Native Business (Strategic Accounts) role at Databricks.
From the original posting
The Role
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the most complex strategic customer engagements within the Digital Native Business. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
The Impact You Will Have
- Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
- Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
- Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
- Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team
- Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
- Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
- Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
What We Look For
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
- Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
- Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
- Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
- Proven track record of driving consumption growth and platform adoption in large accounts
- Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
- Experience leading competitive displacements and complex enterprise evaluations
- Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
Nice to Have:
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
- Published thought leadership (blogs, conference talks, open source contributions)
- Strategic account expertise with executive-level domain credibility
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.