Senior Data Platform Engineer (Databricks & Cloud)

lumindigital.com; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off & holidays

Job summary

Lumin Digital seeks a Senior Data Engineer to design, build, and optimize foundational data infrastructure with a focus on the Databricks data platform. You will develop scalable pipelines and reusable tools, collaborating with cross-functional teams to drive performance, governance, and security across our cloud-based data ecosystem.

The role emphasizes architectural decisions, cost-effective solutions, and continuous improvement to ensure the data platform scales with business needs in a

Qualifications

• 5+ years of experience in software/data engineering.
• 5+ years of hands-on Databricks experience designing, developing, administering, and maintaining scalable cloud-based data platforms.
• Experience building data pipelines, integrations, automation, and reusable tools.
• Experience configuring, monitoring, troubleshooting, and optimizing data platform infrastructure.

Responsibilities

• Design, build, and maintain scalable data platform architecture with Databricks focus.
• Develop data pipelines, integrations, and reusable tools to speed delivery.
• Monitor performance, reliability, and costs; optimize resources.
• Collaborate with security and engineering teams to meet governance and compliance.

Skills

Python

SQL

Scala

Apache Spark

Data engineering

Cloud computing

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

AWS

Azure

Google Cloud

Job description

Lumin Digital seeks a Senior Data Engineer to design, build, and optimize foundational data infrastructure with a focus on the Databricks data platform. You will develop scalable pipelines and reusable tools, collaborating with cross-functional teams to drive performance, governance, and security across our cloud-based data ecosystem.

The role emphasizes architectural decisions, cost-effective solutions, and continuous improvement to ensure the data platform scales with business needs in a