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Senior Solution Architect
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
8years
Experience Required:
Posted:
11 August 2026 (10 hours ago)
Posted:
Application Deadline:
8 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 were 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 clients 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.
Feature Adoption & Innovation: Champion the adoption of new Databricks features and tools (e.g. Photon AI/BI Mosaic AI) and integrate them effectively into client environments.
Cloud Integration: Ensure seamless optimized and secure integration with major cloud platforms (AWS Azure GCP) including storage networking IAM and security services.
Required Qualifications and Skills
Technical Expertise:
Technical Expertise:
8 years of experience in data engineering big data architecture or software engineering with a focus on data platforms.
5 years of deep hands-on experience designing implementing and optimizing solutions on the Databricks platform.
Expert-level proficiency in Apache Spark ecosystem (PySpark Spark SQL Scala) and large-scale data processing.
Strong experience with cloud infrastructure (AWS Azure GCP) including storage solutions (S3 ADLS) networking and security models.
Deep expertise in Databricks Lakehouse architecture Delta Lake Unity Catalog and best practices for ETL/ELT data governance and reliability.
Proficiency in Python Scala advanced SQL and modern DevOps practices including Docker Kubernetes and CI/CD.
Professional & Communication Skills:
Exceptional client-facing and presentation skills able to communicate complex concepts to both technical and C-level audiences.
Proven leadership in client engagements ability to drive consensus and influence decision-making across stakeholder groups.
Strong problem-solving analytical skills and a proactive consultative mindset.
Preferred Qualifications:
Databricks Certified Professional or higher certifications.
Relevant cloud certifications (e.g. AWS Certified Big Data Azure Data Engineer Google Professional Data Engineer).
Experience with MLOps generative AI and advanced analytics on Databricks.
Prior experience in senior consulting solution architecture or resident roles.
"Koantek is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status."
Required Skills:
Experience with Delta Lake and Databricks Workflows. Exposure to real-time data processing and streaming technologies (Kafka Spark Streaming). Exposure to data visualization tool Databricks Genie for data analysis and reporting. Knowledge of data governance security and compliance best practices.
