Senior Solutions Architect (Data & AI)

Databricks; United States; Remote; USD 161,000 - 242,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Architect to lead the most complex customer engagements, owning executive-level relationships and serving as the technical authority across accounts.

You will drive consumption strategy, influence platform adoption, and mentor teams while shaping enterprise-grade data/AI solutions. This role requires deep architecture skills and a proven track record in large enterprise settings.

Qualifications

• 8+ years in solutions architecture, principal engineering, or senior technical roles.
• Expert-level coding in Python, SQL, Spark/PySpark; live coding may be required.
• Deep expertise in enterprise data architecture, streaming and lakehouse patterns.
• Expert-level Databricks Platform knowledge with depth or equivalent depth.
• Declared technical specialization with recognised depth (e.g., real-time, ML/AI, migrations).
• Proven track record of driving consumption growth and platform adoption in large accounts.
• Executive presence to influence Directors, VPs and C-level stakeholders.
• Bachelor's or Master's degree in CS/Engineering or quantitative discipline.

Responsibilities

• Drive the technical and consumption strategy for the organisation's most complex engagements, influencing platform adoption and revenue growth.
• Own senior-level technical relationships — advising on enterprise data and AI strategy.
• Lead the most complex architecture engagements: multi-workload platforms and migrations.
• Act as an expert on the Databricks Platform with archetype depth and mentor peers.
• Develop competitive strategies and orchestrate cross-functional teams to deliver enterprise-grade solutions.
• Coach and develop junior SAs on technical depth and customer engagement.
• Contribute to Field Engineering thought leadership through customer-facing content and workshops.

Skills

Python

SQL

Spark/PySpark

Strategic thinking

Executive presence

Education

Bachelor's or Master's in CS/Engineering/quantitative

Tools

Databricks Platform

Real-time architectures

Job description

JOB ID: FEQ427R333

Location: Leeds/Manchester, United Kingdom - remote contract

Industry: Enterprise Retail or CPG (UKI Enterprise)

The Role

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. You have declared your archetype—a recognised technical specialisation 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 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. 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 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