Databricks Developer

Role: - .Net Databricks Developer

Location- Irving TX

Were seeking a hands-on Engineering Team Lead to design and deliver scalable backend services and data platforms within a distributed event-driven architecture.

This role blends technical leadership with system ownership and requires strong expertise in data processing and Azure-based Cloud/DevOps practices. The Team Lead will oversee daily support for Clients Product Master and Vendor Master systems built on EBX SSIS/ADF SQL Server Azure and on-prem environments. The role also includes hands-on development-delivering enhancements to legacy systems and designing and coding solutions in Databricks.

Key Responsibilities

• Lead a team of Engineers to Support Product Master and Vendor Master day to day tickets and patching upgrades
• Own architecture across backend services SQL/data models and data pipelines
• Lead design and delivery of and REST APIs
• Hands on develop solutions using Databricks
• Ensure system reliability via monitoring observability and performance tuning
• Guide team on best practices in backend data and distributed systems
• Collaborate with stakeholders to align technical solutions with business needs
• Improve CI/CD pipelines and cloud infrastructure

Required Experience:

• Data
  • Experience with Spark / Databricks
  • Handling large-scale data processing (batch/streaming) ( SSIS/ADF/Kafka/Service Bus/Event Hub)
• Backend
  • Strong experience /
  • Solid experience with REST APIs microservices and distributed systems
  • Strong knowledge of SQL relational databases and data modeling
• DevOps / Cloud
  • Experience with Azure
  • Hands-on with CI/CD pipelines (Azure GitHub Actions)
  • Experience with monitoring/observability tools (e.g. Datadog)
  • Familiarity with containers and orchestration concepts
• Leadership
  • Experience leading teams or driving technical initiatives
  • Strong ownership of production systems and delivery

Nice to Have

• Experience with event-driven systems (Kafka or similar)
• Experience with large-scale data platforms
• Knowledge of GraphQL APIs
• Experience modernizing legacy systems

Critical Aspects Were Looking For

• Hands-on technical leader
• Strong ability to own and debug systems in production end-to-end
• Comfortable across backend data cloud layers
• Experience building scalable high-performance systems
• Ability to mentor engineers while contributing technically