[Hiring] Senior Solution Architect- Spark & Databricks Expert @Koantek

Role Description

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.

Qualifications

• 5–10 years in data engineering or analytics solution delivery.
• 3+ years of hands-on expertise in Databricks, including job optimization, debugging, and workload governance.
• Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
• Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
• Proven ability to identify and solve complex technical problems with minimal oversight.
• Exceptional skills to simplify technical complexity for business leaders.

Preferred Qualifications

• Databricks Certified Data Engineer Professional.
• Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
• Experience in large-scale data migration or AI-assisted analytics in enterprise environments.