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Open nowPosted 169 days ago

Senior Solution Architect- Spark & Databricks Expert

Koantek34 open roles

Where
United States
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Your applicationOpen nowSenior Solution Architect- Spark & Databricks ExpertKoantek · United States

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 169 days ago

The posting

Role: Senior Solution Architect– Spark Expert Experience: 5 – 10+ Years Location: Remote Employment Type: Full-time Role Overview 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. Key Responsibilities 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. Required Qualifications 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. Preferred Qualifications 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.

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