Solutions Architect - Databricks
@ Lumenalta

Hybrid
$150,000
Hybrid
Full Time
Posted 3 hours ago

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Job Details

About Lumenalta

We partner with global enterprises to launch digital products that interact with millions of users and massive data volumes. Our work requires scalable architecture, creative problem-solving, and seamless platform integration.

What You’ll Do

  • Design scalable, secure, and high-performance data architectures.
  • Translate business requirements into robust technical solutions.
  • Guide teams on best practices for building with PySpark, AWS, and Databricks.
  • Collaborate with cross-functional teams to align architecture with product goals.
  • Own architectural decisions across cloud infrastructure and data pipelines.

What We’re Looking For

  • 8+ years experience in data engineering, architecture, or related roles.
  • Proven experience designing enterprise-grade data systems.
  • Deep expertise with AWS, Databricks, and PySpark.
  • Strong Python and SQL skills.
  • Excellent communication and stakeholder management skills.
  • Fluent in English (spoken and written).

Work Arrangement

This is a 100% Remote role. Ensure you have a comfortable home office setup at your desired location.

Key skills/competency

  • Scalable Architecture
  • Data Engineering
  • AWS
  • Databricks
  • PySpark
  • Python
  • SQL
  • Enterprise Systems
  • Cloud Infrastructure
  • Stakeholder Management

How to Get Hired at Lumenalta

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight relevant data architecture skills.
  • Showcase your projects: Emphasize AWS and Databricks experience.
  • Prepare for technical interviews: Practice Python, SQL, and PySpark challenges.
  • Research Lumenalta: Review their digital products and enterprise case studies.

📝 Interview Preparation Advice

Technical Preparation

Review AWS architecture fundamentals.
Practice PySpark coding exercises.
Study Databricks platform configurations.
Strengthen Python and SQL skills.

Behavioral Questions

Describe your teamwork in remote settings.
Explain challenging stakeholder communications.
Discuss decision-making in data architecture.
Share examples of problem solving under pressure.

Frequently Asked Questions