Sr. Solutions Architect - Agencies

Databricks•Northeast - United States, VA

14h•$219,100 - $301,300

About The Position

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.

Requirements

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. You will complete a live coding assessment and a platform build during the interview.
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 Haves

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

Responsibilities

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.