# Sr. Solutions Architect - Agencies

**Company**: Databricks
**Location**: Northeast - United States
**Experience**: senior
**Job type**: full-time
**Salary**: $219,100-$301,300 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8758645002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_86942dab-344

## 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 prioritisation.

- 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 specialisation 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.

Pay Range Transparency: The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.

Zone 1 Pay Range: $219,100-$301,300 USD Zone 2 Pay Range: $219,100-$301,300 USD Zone 3 Pay Range: $219,100-$301,300 USD Zone 4 Pay Range: $219,100-$301,300 USD

## Skills

### Required
- Python
- SQL
- Spark/PySpark
- enterprise data architecture
- Databricks Platform
- distributed systems
- streaming/real-time systems
- lakehouse design patterns
- data governance frameworks
- cloud-native platforms

### Nice to have
- Databricks certifications
- prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
- published thought leadership
- industry vertical expertise

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8758645002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)