Experience disruption-proof digital banking with Lumin Digital's cloud-native Compounding Growth Platform, offering innovative solutions for financial institutions.
About the role
Design, develop, and maintain scalable, reliable, and cost-effective data platform architecture and foundational capabilities, with a primary focus on Databricks. Build and optimize data pipelines, integrations, and reusable tools that streamline data processing, improve developer productivity, and accelerate delivery across engineering and analytics teams. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience in software engineering, data engineering, or related technical disciplines
- 5+ years of hands-on Databricks experience designing, developing, administering, and maintaining scalable cloud-based data platforms
- Experience building data pipelines, integrations, automation, and reusable tools that support data processing and improve engineering productivity
- Experience configuring, monitoring, troubleshooting, and optimizing data platform infrastructure for performance, reliability, scalability, and cost efficiency
- Experience working with cloud infrastructure and services, preferably AWS, with experience in Azure or Google Cloud also valued
- Experience developing and maintaining solutions using Scala, Python, SQL, Apache Spark, or similar data engineering technologies
More about this role
The Senior Data Engineer is responsible for designing, building, and optimizing the foundational data infrastructure and tools that support Lumin Digital’s data ecosystem. With a strong focus on the Databricks data platform, this role develops scalable, reliable, and cost-effective solutions that enable engineering and analytics teams to accelerate development and delivery. The Senior Data Engineer collaborates with cross-functional stakeholders to identify platform needs, develop integrations, improve performance, and implement reusable tools and capabilities that enhance developer productivity. This role also contributes to technical planning, architectural decisions, and continuous improvement initiatives to ensure the data platform remains scalable, sustainable, secure, and aligned with evolving business needs.
Design, develop, and maintain scalable, reliable, and cost-effective data platform architecture and foundational capabilities, with a primary focus on Databricks.
Build and optimize data pipelines, integrations, and reusable tools that streamline data processing, improve developer productivity, and accelerate delivery across engineering and analytics teams.
Monitor and...
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