Engineering Team Lead

The Role: We’re 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 Databricks, .NET, data processing, and Azure-based Cloud/DevOps practices. The Team Lead will oversee daily support for Client’s Product Master and Vendor Master systems built on EBX, SSIS/ADF, SQL Server, ASP.NET , 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 ASP.Net/.Net 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 Requirements: Data Experience with Spark / Databricks Handling large-scale data processing (batch/streaming) ( SSIS/ADF/Kafka/Service Bus/Event Hub) Backend Strong experience with .Net / ASP.Net 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 Must Have: 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 Originally posted on Himalayas