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Resident Solutions Architect - Spark & Databricks Expert

Role overview

Qualifications

  • 5-10 years of experience in data engineering or analytics solution delivery
  • 3+ years of hands-on Databricks experience, 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

Responsibilities

  • 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
  • Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence
  • Mentor junior engineers and champion best practices in PySpark, Databricks, and Lakehouse design

About the company

Koantek logo

Koantek

Artificial Intelligence & Machine Learning Services

We work with you to understand your current technology landscape and strategic goals and connect you with solutions to modernize your technology platform. We help you leverage the power of technology to transform your business by reducing complexities and improving growth velocity. We support you at every step of the way as you modernize your data platforms: strategy, capability identification, execution, and organization while making ethical AI considerations to drive your initiatives. As a true consulting partner, Koantek does more than provide a technology solution; we guide you through the entire process so that you can make the best decisions for your company. Today's competitive marketplace requires innovation and agility to scale and outpace the competition. Are you harnessing the power of data for game-changing predictive insights? Let's discuss solutions that best support your strategy.

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

This is a remote position.

Role: Senior Resident Solutions Architect (RSA) – 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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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