At a Glance
- Tasks: Lead complex customer engagements and drive technical strategies for enterprise data and AI.
- Company: Join Databricks, a leading Data and AI company trusted by top global brands.
- Benefits: Enjoy comprehensive benefits, remote work options, and a commitment to diversity and inclusion.
- Other info: Dynamic environment with opportunities for career growth and thought leadership.
- Why this job: Make a real impact in the tech world while mentoring others and shaping future innovations.
- Qualifications: 8+ years in solutions architecture with expert coding skills in Python and SQL.
The predicted salary is between 118800 - 145200 $ per year.
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. 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.
- 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).
- Industry vertical expertise with executive‑level domain credibility.
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