Senior Solution Architect

Senior Solution Architect

We are looking for a high-caliber Senior Solution Architect to join our Professional Services team. This is a high-impact, technical role designed for a seasoned expert who can balance deep hands-on coding with strategic consulting. As an RSA, you will be embedded with our most strategic customers, acting as a "Trusted Advisor" to design, build, and deploy production-grade Big Data and AI solutions on the Databricks platform.

Key Responsibilities

• Technical Delivery: Lead short-to-mid-term professional services projects, focusing on data engineering, data science, and cloud-native architectures.

• Hands-on Engineering: Write production-quality code (Python, Scala), optimize distributed compute (Apache Spark) workloads, and integrate solutions across cloud ecosystems.

• Architecture & Design: Design reference architectures and assist customers with production-level deployments, CI/CD pipelines, and MLOps.

• Strategic Advisory: Guide customers through "Build vs. Buy" decisions, highlighting the value of scalability and maintainability over technical debt.

• Problem Solving: Resolve high-level technical escalations and unblock customers by debugging complex performance issues or building bridge solutions for feature gaps.

• Collaboration: Work closely with Product Engineering to provide real-world feedback and influence the future roadmap of the Databricks platform.

• Required Skills & Experience

• Experience: 8+ years in Data Engineering, Analytics, or Platform roles, with at least 10+ years in technical consulting.

• Technical Mastery: Deep expertise in Apache Spark internals and distributed processing.

• Coding: Advanced proficiency in Python or Scala.

• Cloud Expertise: Deep experience in at least one major cloud provider (AWS, Azure, or GCP) and working knowledge of a second.

• Project History: Proven track record of delivering at least 6-8+ end-to-end Databricks projects.

• DevOps/MLOps: Strong familiarity with production deployment practices, including CI/CD and data governance frameworks (Unity Catalog).

• Certifications: Databricks Certified Data Engineering Professional (or equivalent).

• Soft Skills & Professional Qualities

• Consulting Mindset: Ability to earn trust early, empathize with customer pain points, and manage stakeholder expectations effectively.

• Communication: Skilled at simplifying complex technical concepts for executive-level stakeholders.

• Adaptability: Comfortable working across various industries and diverse cloud environments.

• Strategic Thinking: Focuses on long-term value, identifying "quick wins" while mitigating long-term architectural risks.

• What to Expect

• This is a billable professional services role. You will be an embedded engineer delivering real implementations, not just strategy.

• You will tackle some of the most challenging data problems in the industry, requiring you to be both a visionary architect and a diligent debugger.

• You will play a critical role in helping customers adopt a "Data + AI" mindset, transforming how they operate their business.