[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Scalence L.L.C. is seeking an experienced Data Engineer to support a large-scale cloud modernization program. The role will lead Redshift-to-Databricks migration strategy, design target-state architecture, drive data pipeline implementation, and oversee technical delivery, governance, testing, and stakeholder communication.
Responsibilities
- Lead Redshift-to-Databricks migration strategy, including discovery, assessment, dependency analysis, and migration planning
- Design and govern target-state architecture, including Medallion layers, data modeling, security, observability, and DevSecOps standards
- Drive implementation of ETL/ELT pipelines, Lakeflow Jobs, DLT pipelines, Auto Loader, CDC, and Data Quality frameworks
- Lead onshore/offshore teams, provide technical guidance, conduct design reviews, and ensure delivery excellence across all workstreams
- Collaborate with business, architecture, security, infrastructure, governance, and application teams to manage dependencies, risks, and solution decisions
- Own migration execution through testing, validation, cutover, hypercare, governance, and stakeholder communication, ensuring a secure and compliant Databricks platform
Skills
- 10+ years of Data Engineering experience with 7+ years of hands-on Databricks expertise delivering large-scale cloud modernization programs
- Strong expertise in Databricks, PySpark, Python, SQL, AWS, Delta Lake, Unity Catalog, and Lakehouse Architecture
Benefits
- Opportunity to work with a dynamic team in a fast-paced environment
- Exposure to cutting-edge technologies and methodologies
- Supportive and collaborative work culture
Company Overview