Senior Solution Architect – Spark, Databricks Expert

Job not on LinkedIn

🕒 May 6

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 53%

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.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 engagements from discovery to delivery with full ownership and accountability. • Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency. • Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads. • Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence. • Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions. • Collaborate with product and engineering teams to improve customer experience and platform features. • Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.

🎯 Requirements

• 5–10 years in data engineering or analytics solution delivery. • 3+ years of hands-on expertise in Databricks, including job optimization, debugging, and workload governance. • Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning. • Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure. • Proven ability to identify and solve complex technical problems with minimal oversight. • Exceptional skills to simplify technical complexity for business leaders.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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