Solution Architect

**About Koantek:

Koantek is a Databricks-exclusive system integrator trusted by enterprises to move from platform adoption to real AI impact. A seven-time Databricks Partner of the Year, we’re recognized with Brickbuilder Specializations across AI, Security & Governance, Migrations, Lakeflow, and multiple industries.

We combine deep technical expertise with proven delivery to help customers operationalize data and AI at scale — securely, efficiently, and with measurable business outcomes.

Our teams combine deep Databricks engineering expertise with a product-driven delivery mindset. From enterprise-grade Agent-to-Agent (A2A) and Multi-Context Processing (MCP) architectures to AI-powered governance and computer vision, we help organizations move beyond pilots and deploy AI confidently at scale.

**Senior Databricks Solution Architect
Overview:

We are seeking an experienced and dedicated Senior Solutions Architect to lead technical engagements and provide strategic guidance for our strategic client accounts. This high-impact role requires deep expertise in the Databricks Platform, acting as the client's primary technical advisor for complex data, analytics, and AI initiatives. You will bridge business objectives with technical execution, designing and delivering scalable Lakehouse architectures while mentoring client teams and driving adoption of advanced Databricks capabilities.

**Key Responsibilities:

• Platform Architecture & Design: Lead the design and implementation of enterprise-scale, secure, and high-performance data architectures on the

Databricks Lakehouse Platform, leveraging Delta Lake, Unity Catalog, serverless compute, and advanced features like Photon engine.

• Hands-On Implementation & Leadership: Provide expert hands-on guidance and lead development of complex data engineering pipelines using Apache Spark, PySpark, SQL, and Scala, with a focus on code quality, optimization, and best practices.

• Performance Tuning & Optimization: Identify, diagnose, and resolve complex performance issues in large-scale data processing, query optimization, and cluster configurations.

• Client Advisory & Strategy: Serve as the trusted senior technical advisor to client leadership, engineering, and data science teams, delivering best practices in data governance, security, MLOps, and operational excellence.

• Knowledge Transfer & Team Enablement: Design and deliver advanced workshops, training sessions, and ongoing mentorship to accelerate client team proficiency and self-sufficiency.