Senior Solution Architect

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Koantek

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Koantek is a data intelligence company that specializes in maximizing data value through innovative solutions built on the Databricks platform. They offer tailored services such as data migration, advanced analytics, and cloud infrastructure modernization to help organizations unlock actionable insights and drive strategic growth. As a recognized Databricks partner, Koantek collaborates with businesses to develop customized data strategies that align with their unique objectives, enhancing decision-making and operational efficiency.

📋 Description

• Lead the design and implementation of enterprise-scale, secure, and high-performance data architectures on the Databricks Lakehouse Platform • Provide hands-on guidance and lead development of complex data engineering pipelines using Apache Spark, PySpark, SQL, and Scala • Identify, diagnose, and resolve performance issues in large-scale data processing, query optimization, and cluster configurations • Serve as the senior technical advisor to client leadership, engineering, and data science teams on data governance, security, MLOps, and operational excellence • Design and deliver advanced workshops and training sessions, and provide ongoing mentorship to client teams • Champion adoption of new Databricks features and tools such as Photon, AI/BI, and Mosaic AI • Ensure seamless, optimized, and secure integration with AWS, Azure, and GCP, including storage, networking, IAM, and security services

🎯 Requirements

• 8+ years of experience in data engineering, big data architecture, or software engineering focused on data platforms • 5+ years of deep, hands-on experience designing, implementing, and optimizing Databricks solutions • Expert proficiency in Apache Spark, PySpark, Spark SQL, Scala, and large-scale data processing • Strong AWS, Azure, and GCP infrastructure experience, including S3, ADLS, networking, and security models • Deep expertise in Databricks Lakehouse architecture, Delta Lake, Unity Catalog, ETL/ELT, data governance, and reliability • Proficiency in Python, Scala, advanced SQL, Docker, Kubernetes, and CI/CD • Exceptional client-facing and presentation skills for technical and C-level audiences • Proven leadership in client engagements and ability to influence stakeholder decision-making • Strong problem-solving and analytical skills with a proactive, consultative mindset • Databricks Certified Professional or higher certification preferred • Relevant AWS, Azure, or Google Professional Data Engineer certifications preferred • Experience with MLOps, generative AI, advanced analytics, and senior consulting or solution architecture preferred