Logo for Koantek

Resident Solutions Architect

Key Facts

Remote From: 
Fixed term
Expert & Leadership (>10 years)
English

Other Skills

  • •
    Consulting
  • •
    Collaboration
  • •
    Adaptability
  • •
    Strategic Thinking
  • •
    Consulting
  • •
    Empathy
  • •
    Relationship Building
  • •
    Problem Solving

Roles & Responsibilities

  • Experience: 8+ years in Data Engineering, Analytics, or Platform roles, with at least 10+ years in technical consulting.
  • Technical Mastery: Deep expertise in Apache Spark internals and distributed processing.
  • Coding: Advanced proficiency in Python or Scala.
  • Cloud Expertise: Deep experience in at least one major cloud provider (AWS, Azure, or GCP) and working knowledge of a second.

Requirements:

  • Technical Delivery: Lead short-to-mid-term professional services projects, focusing on data engineering, data science, and cloud-native architectures.
  • Hands-on Engineering: Write production-quality code (Python, Scala), optimize distributed compute workloads, and integrate solutions across cloud ecosystems.
  • Architecture Design: Design reference architectures and assist customers with production-level deployments, CI/CD pipelines, and MLOps.
  • Strategic Advisory: Guide customers through Build vs. Buy decisions, highlighting the value of scalability and maintainability over technical debt.

Job description

This is a remote position.

We are looking for a high-caliber Resident Solutions Architect (RSA) to join our Professional Services team. This is a high-impact, technical role designed for a seasoned expert who can balance deep hands-on coding with strategic consulting. As an RSA, you will be embedded with our most strategic customers, acting as a "Trusted Advisor" to design, build, and deploy production-grade Big Data and AI solutions on the Databricks platform.


Key Responsibilities

  • Technical Delivery: Lead short-to-mid-term professional services projects, focusing on data engineering, data science, and cloud-native architectures.

  • Hands-on Engineering: Write production-quality code (Python, Scala), optimize distributed compute (Apache Spark) workloads, and integrate solutions across cloud ecosystems.

  • Architecture & Design: Design reference architectures and assist customers with production-level deployments, CI/CD pipelines, and MLOps.

  • Strategic Advisory: Guide customers through "Build vs. Buy" decisions, highlighting the value of scalability and maintainability over technical debt.

  • Problem Solving: Resolve high-level technical escalations and unblock customers by debugging complex performance issues or building bridge solutions for feature gaps.

  • Collaboration: Work closely with Product Engineering to provide real-world feedback and influence the future roadmap of the Databricks platform.


Required Skills & Experience

  • Experience: 8+ years in Data Engineering, Analytics, or Platform roles, with at least 10+ years in technical consulting.

  • Technical Mastery: Deep expertise in Apache Spark internals and distributed processing.

  • Coding: Advanced proficiency in Python or Scala.

  • Cloud Expertise: Deep experience in at least one major cloud provider (AWS, Azure, or GCP) and working knowledge of a second.

  • Project History: Proven track record of delivering at least 6-8+ end-to-end Databricks projects.

  • DevOps/MLOps: Strong familiarity with production deployment practices, including CI/CD and data governance frameworks (Unity Catalog).

  • Certifications: Databricks Certified Data Engineering Professional (or equivalent).


Soft Skills & Professional Qualities

  • Consulting Mindset: Ability to earn trust early, empathize with customer pain points, and manage stakeholder expectations effectively.

  • Communication: Skilled at simplifying complex technical concepts for executive-level stakeholders.

  • Adaptability: Comfortable working across various industries and diverse cloud environments.

  • Strategic Thinking: Focuses on long-term value, identifying "quick wins" while mitigating long-term architectural risks.


What to Expect

  • This is a billable professional services role. You will be an embedded engineer delivering real implementations, not just strategy.

  • You will tackle some of the most challenging data problems in the industry, requiring you to be both a visionary architect and a diligent debugger.

  • You will play a critical role in helping customers adopt a "Data + AI" mindset, transforming how they operate their business.


How to Apply

If you are a technical powerhouse who loves solving complex data challenges and thrives in a customer-facing environment, we want to hear from you.




Salary: -

Solutions Architect Related jobs

Other jobs at Koantek

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.