Description
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements.
You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.
The Impact You Will Have:
- Drive the technical and consumption strategy for the organisation'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 recognised 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.