Senior Databricks Engineer

Lumenalta; United States; Remote; USD 80,000 - 150,000; Full time

Benefits offered by this job

Health insurance (medical)

401K Contribution

Paid time off

Job summary

Lumenalta is seeking a Senior Databricks Engineer to design and implement modern cloud data platforms. You will build scalable pipelines using Databricks, PySpark, and SQL, while applying testing, CI/CD, and best practices.

This remote role requires strong collaboration across distributed teams and a focus on governance, security, and repeatable infrastructure as code (Terraform). Experience with Lakehouse components and AWS is highly valued.

Qualifications

• Experience designing end-to-end data platforms in a cloud environment.
• Strong programming experience with Python, PySpark, and SQL.
• Hands-on with Databricks, Delta Lake, and Unity Catalog.
• Familiarity with CI/CD, testing, and Git workflows.
• Terraform or IaC for repeatable environments.
• Excellent communication with distributed teams.

Responsibilities

• Design and implement scalable enterprise data platforms using Databricks and AWS.
• Architect end-to-end data platform implementations and govern data solutions.
• Develop robust data pipelines with Python, PySpark, and SQL.
• Apply testing, CI/CD, and version control in product delivery.

Tools

Databricks

Delta Lake

Unity Catalog

Databricks Asset Bundles (DABs)

Lakehouse (Lakeflow)

Terraform

AWS (S3, IAM)

Git CI/CD

PyTest

Python

PySpark

SQL

Job description

# Senior Databricks EngineerData Engineer#### Role OverviewWe are seeking a Senior Data Engineer - Databricks with strong expertise in Databricks to help design and implement modern enterprise data platforms. This role blends strong software engineering practices with advanced data platform architecture, requiring hands-on experience building scalable pipelines and designing robust data systems in the cloud. The engineer will contribute to platform architecture, implement reliable data solutions, and ensure best practices across development, testing, deployment, and governance within the data platform ecosystem.#### Responsibilities* Design and implement scalable enterprise data platforms using Databricks and AWS.* Architect and oversee end-to-end data platform implementations.* Develop robust data pipelines using Python, PySpark, and SQL.* Apply strong engineering practices including testing, CI/CD, and version control.* Implement and manage Databricks platform components including Delta Lake, Unity Catalog, Databricks Asset Bundles, and Lakeflow Jobs.* Collaborate with engineering teams to ensure maintainable, scalable, and secure data solutions.* Implement Infrastructure as Code practices to support repeatable environments.* Contribute to architectural decisions and guide best practices for the data platform.#### Requirements* Deep expertise in Databricks, including platform architecture and best practices.* Experience as a Solution Architect or Data Platform Owner designing end-to-end implementations.* Strong programming experience with Python, PySpark, and SQL.* Experience using testing frameworks such as PyTest.* Solid experience with Git-based workflows, CI/CD pipelines, and DevOps practices.* Hands-on experience with Delta Lake, Unity Catalog, Databricks Asset Bundles (DABs), and Lakeflow Jobs.* Experience with Infrastructure as Code using Terraform.* Strong AWS experience, particularly S3 and IAM roles.* Strong communication and collaboration skills in distributed teams.#### Nice to Have* Experience designing lakehouse architectures at scale.* Experience optimizing distributed data workloads.* Experience working in consulting or client-facing engineering environments.* Experience implementing governance, security, and data lineage frameworks.* Strong hands-on experience with AWS Glue (ETL, jobs, crawlers, workflows).#### LocationThis is a fully remote position; however, candidates must be based in regions that align with US time zones to ensure effective collaboration with client and team schedules.#### Application DeadlineApplications will be accepted until **October 25th, 2026**. Candidates can expect feedback by **November 2nd, 2026**.## Salary**Salary range:** $80k - $150k annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.## BenefitsIn addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:* Flexible working hours in a remote environment.* Health insurance (medical and dental) for W2 Employees.* 401K Contribution.* A professional development fund to enhance your skills and knowledge.* 15 days of paid time off annually.* Access to soft-skill development courses to further your career.## Position DetailsThis is a full-time position requiring a minimum of **40 hours per week, Monday through Friday**.At **Lumenalta**, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.