Rearc
Lead Data Engineer (Databricks)
Remote (United States) · Junior
Sponsorship not specified$175k-$200kDetected 26 days ago
PythonScalaCode ReviewBigQueryRedshiftDatabricksAWSGCPAzureCloud PlatformsCI/CDSparkData EngineeringTest AutomationUnityLeadershipCommunicationProblem Solving
About the role
- You bring a DataOps mindset: CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code are standard practice for you, not afterthoughts.
- Your communication skills allow you to engage technical and non-technical stakeholders equally well, from a client's CTO to a junior engineer on your team.
Responsibilities
- As a Lead Data Engineer at Rearc, you'll serve as the hands-on technical lead across complex, client-facing data engineering engagements.
- You'll own the architecture and the build.
- Lead Client Data Engagements: Serve as the senior technical lead on client projects.
- Own the architecture, guide the build, manage delivery risk, and ensure the solution shipped matches what was promised.
- Build and Productionize Data Solutions: Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms.
- Architect for Scale and Reliability: Translate complex client requirements into robust technical designs, reference architectures, and data models built to last in production.
- Drive Technical Delivery: Manage technical scope and timelines, identify blockers early, and partner with project managers and client stakeholders to keep engagements on track.
- Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.
- Serve as the senior technical lead on client projects.
- Manage technical scope and timelines, identify blockers early, and partner with project managers and client stakeholders to keep engagements on track.
Nice to have
- You write clean, production-quality code in Python, with Scala experience a strong plus for deeper Spark and performance-critical work.
- You've built and productionalized solutions on the platform, including Delta Lake architectures, Unity Catalog governance, and Databricks Workflows.
- Databricks certification is a strong plus.
- You've led data engineering projects end-to-end in a client-facing or consulting context, managing technical scope, navigating stakeholder expectations, and delivering against timelines without cutting corners.
Compensation
- Establish and enforce modern data engineering standards across engagements, automated testing, pipeline observability, version control, CI/CD, and documentation.
- Some More About Us At Rearc, we're committed to empowering engineers to build awesome products and experiences.
- Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches.
- If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!
- Our approach is simple - empower engineers with the best tools possible to make an impact within their industry.
- We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills.
Company info
- Some More About Us At Rearc, we're committed to empowering engineers to build awesome products and experiences.
- If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!
- Our approach is simple - empower engineers with the best tools possible to make an impact within their industry.
- Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo.
- We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.
- If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place.
This listing is sourced directly from Rearc's careers page and normalized into a canonical job model.