Resident Solutions Architect

We are looking for a high-caliber Resident Solutions Architect (RSA) 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.
  

How to Apply

If you are a technical powerhouse who loves solving complex data challenges and thrives in a customer-facing environment we want to hear from you.