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