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.
Skills Required
- 5-10 years in data engineering or analytics solution delivery
- 3+ years hands-on Databricks expertise including job optimization, debugging, and governance
- Deep understanding of Spark internals, PySpark, and Databricks SQL performance tuning
- Strong knowledge of Delta Lake, Structured Streaming, and modern Lakehouse design
- Experience with cloud infrastructure for data workloads
- Proven ability to autonomously identify and solve complex technical problems
- Exceptional communication skills to translate technical concepts for business leaders
- Databricks Certified Data Engineer Professional
- Experience with Delta Live Tables (DLT) and Unity Catalog (UC)
- Consulting background in large-scale data migration or AI-assisted analytics
What We Do
Koantek is a Databricks-exclusive system integrator focused on enterprise-scale data and AI transformation, helping clients modernize, migrate, and scale AI solutions.







