Senior Solution Architect- Spark & Databricks Expert

Koantek

  • 30+ days ago
  • Remote

    Highlights

    Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership.

    Numbers & Facts

    Location (
    Remote
    )
    Websitewww.koantek.com

    Description

    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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