Solution Architect

🕒 October 11

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 14%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 35 days.
• No salary listed.

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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 expert hands-on guidance and lead development of complex data engineering pipelines using Apache Spark, PySpark, SQL, and Scala • Identify, diagnose, and resolve complex performance issues in large-scale data processing, query optimization, and cluster configurations • Serve as the trusted senior technical advisor to client leadership, engineering, and data science teams • Deliver best practices in data governance, security, MLOps, and operational excellence • Design and deliver advanced workshops and training sessions and provide ongoing mentorship • 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 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 • 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

🏖️ Benefits

• Equal Opportunity Employer commitment • Consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

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