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Salary
≈ $128k – $246k per year (Estimated)
Location
In office (United States)
Seniority
Architect · 5+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on May 6, 2026. Koantek scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Koantek is a data and AI consulting firm built around its strategic partnership with Databricks and managed through an alliances function. It hires alliances managers, technical project managers and solutions architects, with delivery teams in Bengaluru, Hyderabad and Ahmedabad. The company is registered in Town and Country, Missouri, United States.
Role: Senior Solution Architect- Spark Expert Experience: 5 - 10+ Years Location: Remote

Employment Type: Full-time

Role Overview We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. This role requires a decisive, agentic-forward approach to problem-solving. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers.

Key

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

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

Preferred

Qualifications

Certifications: Databricks Certified Data Engineer Professional. Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC). Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments.

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