Lead Data Engineer

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 driven by the desire to solve problems and make a difference, you're in the right place!

Our approach is simple: empower our people with the best tools possible to make an impact within their industry. We're on the lookout for people who thrive on ownership and freedom, possessing not just technical depth but also executive presence and business judgment.

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is minimal, 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 and the customers we serve.

LEAD DATA ENGINEER – REARC

WHAT YOU BRING

- 8+ years of hands-on experience in data engineering, designing and delivering production-grade data platforms.

- Expert-level knowledge of Apache Spark, including deep understanding of runtime internals, performance tuning, and optimization to build scalable, high-performance pipelines.

- Proficient in writing clean, production-quality code in Python; hands-on Scala experience is a strong plus for advanced Spark and performance-critical workflows.

- Proven experience building and productionalizing data solutions on Databricks, including Delta Lake architectures, Unity Catalog governance, and Databricks Workflows. Databricks certification is a strong advantage.

- Hands-on expertise with at least two major cloud platforms (AWS, Azure, GCP) and in-depth experience with at least one, utilizing cloud-native services such as AWS Redshift, Glue, S3; Azure Synapse, Data Factory, ADLS; or Google BigQuery, Dataflow, GCS.

- End-to-end leadership of data engineering projects in client-facing or consulting environments, managing technical scope, stakeholder engagement, and timely delivery without compromising quality.

- Strong DataOps practice: CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code are integral to your workflows.

- Broad experience in ETL/ELT design, data warehousing, lakehouse architectures, and data modeling, with the ability to select and apply the right approach for diverse scenarios.

- Excellent communicator, able to engage effectively with both technical and non-technical stakeholders, from C-level executives to junior engineers.

WHAT YOU'LL DO

As a Lead Data Engineer at Rearc, you’ll be the technical lead for complex, client-facing data engineering projects. You’ll own both architecture and implementation.