Role: Senior Solution Architect– Spark Expert
We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. This role requires a decisive, agentic-forward approach to problem-solving. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers.
Customer Leadership: Lead engagements from discovery to delivery with full ownership and accountability.
Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
Spark Expertise: Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
Proactive Delivery: Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
Strategic Advocacy: Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
Cross-functional Partnership: Collaborate with product and engineering teams to improve customer experience and platform features.
Mentorship: Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
Experience: 5–10 years in data engineering or analytics solution delivery.
Databricks Mastery: 3+ years of hands-on expertise, including job optimization, debugging, and workload governance.
Technical Depth: Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
Modern Lakehouse: Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
Autonomy: Proven ability to identify and solve complex technical problems with minimal oversight.
Communication: Exceptional skills to simplify technical complexity for business leaders.
Certifications: Databricks Certified Data Engineer Professional.
Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)

