OPEN ROLE — VIA SYMPHONI HR

Databricks Engineer.

Pan-IndiaHybrid5–8 yearsPosted 2026-10-15

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a leading global computer software firm specializing in advanced data analytics and digital operations. They provide innovative technology solutions to help enterprises optimize performance and manage complex regulatory landscapes. With a strong focus on digital transformation, they foster a collaborative and fast-paced environment for technical professionals.

About the role.

We are looking for a skilled Databricks Engineer to join our team in a hybrid capacity based in Pan India. You will be responsible for designing, building, and optimizing enterprise-scale data lakehouse solutions, with a specific focus on financial crime platforms including AML, KYC, and fraud detection. This role requires a strong technical background in big data engineering and a commitment to delivering high-impact data solutions within an Agile framework.

What you will do.

  • Architect and troubleshoot complex lakehouse systems using the Databricks platform.
  • Diagnose and resolve pipeline failures, performance bottlenecks, and data quality issues.
  • Collaborate with data engineers, ML engineers, and business stakeholders to deliver robust data solutions.
  • Maintain clear technical documentation for system architectures and data workflows.
  • Communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Operate within an Agile/Scrum environment to ensure timely delivery of project milestones.
  • Stay current with Databricks platform updates and the evolving data and AI ecosystem.

What you bring.

  • 5-8 years of total experience in data engineering or software engineering.
  • Minimum of 2 years of dedicated, hands-on experience with the Databricks platform in production environments.
  • Strong foundational knowledge in big data engineering, cloud data platforms, and distributed computing.
  • Proven experience managing end-to-end data pipelines for regulatory reporting and financial crime platforms.
  • Familiarity with AML, KYC, CRA, Sanctions Screening, and Fraud Detection domains.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Strong problem-solving skills and a delivery-oriented mindset.
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