.png)
FEQ327R438
As a Sr. Partner Solutions Architect specializing in Customer Lake and Lakewatch, you are an expert-level technical leader responsible for accelerating platform adoption and scaling growth across our strategic partner ecosystem (SIs, GSIs, ISVs, and Cloud Providers). You serve as the definitive technical authority and trusted advisor for partner technical practices, empowering them to architect, position, and deploy enterprise solutions built on our Customer Lake platform, while leveraging Lakewatch for data quality and system monitoring. Operating at the intersection of deep technical leadership, partner enablement, and strategic executive influence, you serve as a force multiplier across your region and partner channel.
The Impact You Will Have
- Scale Partner Practice Growth: Train and enable partner technical teams (SIs, GSIs, ISVs) to build repeatable, high-value practices around Customer Lake and Lakewatch
- Drive Partner-Led Platform Consumption: Co-architect complex partner solutions that accelerate customer adoption, deployment velocity, and platform usage across Customer Lake environments
- Expand Lakewatch Observability: Guide partner engineering teams on deploying Lakewatch to deliver automated data quality monitoring and health telemetry across customer implementations
- Advise Partner Leadership: Act as a trusted technical advisor to partner CTOs, Chief Architects, and Practice Leads, aligning their technology roadmaps with Customer Lake and Lakewatch innovations
- Build Reusable Blueprints: Develop enablement kits, reference architectures, and deployment blueprints that simplify partner integration and rollout
- Orchestrate Cross-Functional Teams: Collaborate across internal Field Engineering, Product, and Partner Management teams to deliver unified partner GTM initiatives
What We Look For
- 8+ years in solutions architecture, partner technical management, principal engineering, or senior customer-/partner-facing technical pre-sales roles
- Proven track record working with system integrators (SIs/GSIs), cloud providers (AWS, Azure, GCP), or strategic technology partners (ISVs)
- 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, real-time/streaming, Customer Lake design patterns, data governance frameworks, and cloud-native platforms
- Deep knowledge of data observability, automated data quality, and platform telemetry using Lakewatch or equivalent monitoring tools
- 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 VPs, Practice Directors, 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)
- Industry vertical expertise with executive-level domain credibility
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → 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.
Skills Required
- 8+ years of experience in solutions architecture, partner technical management, principal engineering, or senior customer- or partner-facing technical pre-sales roles
- Experience working with system integrators, global system integrators, cloud providers, or strategic technology partners
- Expert-level proficiency in Python and SQL
- Ability to complete a live coding assessment and platform build during the interview
- Deep expertise in enterprise data architecture, including distributed systems, real-time or streaming architectures, data lake design patterns, data governance, and cloud-native platforms
- Expertise in data observability, automated data quality, and platform telemetry using Lakewatch or equivalent tools
- Expert-level Databricks Platform knowledge or equivalent competing-platform expertise with demonstrated ability to learn quickly
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry solutions
- Track record of driving platform consumption growth and adoption in large accounts
- Executive presence and ability to influence VPs, practice directors, and C-level stakeholders
- Experience leading competitive displacements and complex enterprise evaluations
- Strategic ability to connect technical architecture decisions to business outcomes and revenue impact
- Bachelor's or Master's degree in Computer Science, Engineering, quantitative discipline, or equivalent experience
- Spark or PySpark experience
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data and AI company
- Published thought leadership, conference talks, or open-source contributions
- Industry vertical expertise with executive-level domain credibility
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
-
Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
-
Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
