Rearc is a boutique Cloud Software & Services firm with engineers that have years of experience shaping the cloud journey of large scale enterprises. Our engineers are skilled at planning application migrations to the cloud and building cloud-native application environments and patterns for the future. We build strategic partnerships with our enterprise customers to enable long term success in the cloud.
Lead Data Engineer (Databricks)
Location
United States
Posted
28 days ago
Salary
Not specified
Job Description
Job Requirements
- 10+ years of experience
- in data engineering, data architecture, or related technical fields, with a proven ability to design, build, and optimize large-scale data ecosystems.
- A strong track record of
- leading complex data engineering initiatives
- , architecting end-to-end data solutions that are scalable, reliable, and aligned with business strategy.
- Deep hands-on expertise
- in ETL/ELT design, data warehousing, and data modeling, enabling the creation of efficient, high-quality data pipelines and analytical foundations.
- Extensive experience with
- data integration frameworks and best practices
- , ensuring seamless, performant data movement across diverse systems and platforms.
- Advanced knowledge of
- cloud-based data services and architectures
- , including platforms such as AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent technologies.
- Strong
- strategic and analytical thinking
- , allowing you to tackle complex data challenges, drive architectural decisions, and influence long-term data strategy.
- Proficiency with modern data engineering frameworks, including
- Databricks, Spark
- , and lakehouse technologies like
- Delta Lake
- for managing and processing large-scale datasets.
- Exceptional communication and interpersonal skills
- , enabling effective collaboration with engineers, product teams, executives, and customers—while influencing technical direction and decision-making.
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