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Solutions Architect Databricks

Lumenalta

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Original Job Summary

About the Role

The Solutions Architect Databricks role at Lumenalta is focused on partnering with global enterprises to launch digital products that interact with millions of users and massive data volumes. It calls for 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 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 in data engineering, architecture, or related roles.
  • 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 a comfortable office set up at your desired work location.

Key skills/competency

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

How to Get Hired at Lumenalta

🎯 Tips for Getting Hired

  • Research Lumenalta's culture: Study their mission, values, and recent projects.
  • Tailor your resume: Highlight experience with AWS, Databricks, and PySpark.
  • Showcase technical skills: Emphasize Python, SQL, and cloud architecture.
  • Practice interviews: Prepare examples of scalable system designs.

📝 Interview Preparation Advice

Technical Preparation

Review AWS architecture services.
Practice PySpark coding challenges.
Study enterprise-scale data pipelines.
Brush up on Python and SQL fundamentals.

Behavioral Questions

Describe managing cross-functional teams.
Explain decision-making under pressure.
Share remote collaboration experiences.
Discuss handling stakeholder expectations.