Databricks
Solutions Architect - Retail at Databricks
$180,000–$247,500 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Solutions Architect - Retail at Databricks listing.
- Company
- Databricks
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $180,000–$247,500 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Databricks is hiring a full-time, L5 Solutions Architect for a remote role in the United States. The position centers on guiding customers’ technical strategy from discovery through deployment and ongoing platform use, while advising senior technical stakeholders and helping establish Databricks as part of their data and AI strategy. The architect is expected to build depth in a technical specialization and become a resource for the team in that area.
The role spans data engineering, machine learning and AI, and real-time analytics. The listed annual pay range is $180,000–$247,500. Actual compensation depends on factors such as role-related skills, experience, certifications, training, and work location; the package may also include an annual performance bonus, equity, and region-specific benefits.
The interview sequence is a recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, Build, Demo, Pitch! presentation, and reference check. Databricks states that if job duties require access to export-controlled technology or source code, it may choose whether to seek a U.S. government license and may decline to proceed with an applicant on that basis.
Role at a glance: Remote U.S. L5 Solutions Architect role at Databricks, leading customer architecture and platform adoption, with an annual pay range of $180,000–$247,500.
Responsibilities mentioned in the listing
- Lead account-level technical strategy from initial discovery through production deployment and increased platform consumption.
- Design scalable, production-ready architectures across data engineering, ML/AI, and real-time analytics, and lead related customer architecture discussions.
- Advise customer architects, engineering leads, and directors on technical decisions.
- Demonstrate Databricks’ competitive advantages with tailored solutions.
- Develop a technical specialization and serve as a go-to resource for the team in that domain.
- Coordinate DSAs, SSAs, and partners to address complex customer needs.
- Share structured customer feedback on requirements and competitive gaps to inform product direction.
Qualifications stated in the listing
- At least 6 years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong Python and SQL skills, including the ability to code, debug, and build solutions live.
- Deep knowledge of distributed data systems, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Databricks Platform proficiency or the ability to gain it quickly, with developing expertise in a technical area such as streaming, ML/AI, data governance, or migrations.
- Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Experience deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Demonstrated success increasing platform adoption and consumption within customer accounts.
- Strong communication skills and the ability to explain complex architectures in business terms to technical and executive audiences.
Full details from the source listing
Solutions Architect (L5)
FEQ128R82
The Role
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
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.
Local Pay Range
$180,000—$247,500 USD
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.
