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# Senior Data Engineer (Data Bricks)

- **Company:** SRS Consulting Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** BigQuery, Cloud Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Cloud Services, SQL Databases, Data Management, Terraform, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/dcc94fd1-3469-4ff0-bd54-4a413aea58aa

## About the Role

Senior Data Engineer to lead critical platform migration initiatives under tight timelines. This role is ideal for engineers who bring deep expertise in Platform and/or Databricks, with proven experience in setting up scalable, production-ready data platforms from the ground up., * 7+ years of experience in Data Engineering / Cloud Data Platforms

 * Strong hands-on expertise in or Databricks
 * Experience building and migrating enterprise-scale data platforms
 * Advanced knowledge of:

 * Terraform
 * Dataplex
 * BigQuery
 * Data warehousing / lakehouse concepts

Strong proficiency in Python / SQL

Experience with distributed data processing frameworks

Deep understanding of cloud-native architecture patterns

Ability to work in fast-paced environments with tight deadlines, * Engineers who have built real systems end-to-end

 * Professionals who understand the trade-offs of architecture decisions
 * Strong ownership mindset with accountability for long-term outcomes
 * Opinionated thinkers who can defend decisions, while remaining open to alternative perspectives
 * Individuals who learn from what didn t work and apply those lessons forward

## Description

* Design, build, and deploy modern cloud-based data platforms on or Databricks
 * Lead platform migration efforts to new environments with aggressive delivery timelines
 * Implement and optimize solutions using:

 * Terraform
 * Dataplex
 * BigQuery
 * Cloud-native data engineering tools

Develop scalable ETL/ELT pipelines and robust data architectures

Drive infrastructure-as-code best practices for cloud resource provisioning

Collaborate with cross-functional teams to ensure smooth deployment and adoption

Troubleshoot performance issues and continuously improve platform reliability

Provide technical leadership and strategic input on platform design decisions