Senior Solution Architect

Zohorecruit; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Zohorecruit is seeking a Senior Solution Architect to join our Professional Services team in San Francisco. You will be embedded with strategic customers, designing, building, and deploying production-grade Big Data and AI solutions on the Databricks platform.

This is a hands-on, high-impact role balancing coding with strategic consulting. You will lead technical delivery across data engineering, data science, and cloud-native architectures, writing production-quality code in Python or Scala and

Qualifications

• Minimum 8+ years in Data Engineering, Analytics or Platform roles; 10+ years in technical consulting.
• Strong mastery of Spark internals and distributed processing.
• Proven experience delivering Databricks projects and cloud deployments.

Responsibilities

• Lead technical delivery of data engineering, data science, and cloud-native solutions.
• Write production-grade code (Python/Scala) and optimize Spark workloads.
• Design reference architectures and deploy production-level pipelines, CI/CD and MLOps.
• Advise customers on Build vs. Buy, valuing scalability and maintainability.
• Resolve complex performance issues and unblock customers with bridge solutions.
• Collaborate with Product Engineering to feedback into the Databricks roadmap.

Skills

Apache Spark internals

Python/Scala

Databricks Platform

Cloud platforms (AWS/Azure/GCP)

Databricks projects

DevOps/MLOps

Databricks Certification

Education

Bachelor's degree in related field

Job description

San Francisco, United States | Posted on 10/01/2026

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.