About the Role

We are looking for an Engineering Manager – Data to lead a distributed team of Data Engineers and Analytics Engineers building and scaling a contemporary data platform.

You will own the data ecosystem end-to-end—from ingestion and modelling to pipelines, reporting, governance, monitoring, and alerting—and drive the technical direction of the platform.

What You'll Do

- Lead and grow a distributed team of Data Engineers and Analytics Engineers.
- Own data engineering initiatives across ingestion, modelling, pipelines, reporting, dashboards, and alerting .
- Define technical direction for data architecture, modelling standards, data contracts, and platform design.
- Drive Databricks and dbt development, testing, data validation, and quality.
- Make architectural decisions across Databricks and ClickHouse for batch and real-time analytical workloads.
- Drive data governance and security, including cataloguing, lineage, access control, PII protection, and compliance .
- Ensure platform reliability, scalability, and cost efficiency through SLAs, monitoring, alerting, and CI/CD.
- Partner with Product, Finance, Risk, Compliance, and Engineering teams to deliver trusted data and reporting.

What We're Looking For
- 7–14 years of experience in Data Engineering, with 3+ years leading data teams as a Tech Lead or Engineering Manager.
- Strong hands-on experience with Databricks, Spark, Delta Lake, Unity Catalog, and advanced SQL .




- Solid experience with dbt for modelling, testing, documentation, and data quality.
- Experience with ClickHouse or similar real-time analytical databases , including schema design and performance tuning.
- Strong knowledge of Azure data services , including ADLS Gen2, Data Factory, Event Hubs, Key Vault, Microsoft Entra ID, and Microsoft Purview.
- Strong understanding of data governance and security , including RBAC, row/column-level security, encryption, masking, auditing, and retention.
- Experience with Power BI or similar reporting tools and CI/CD for data using Azure DevOps or GitHub Actions.
- Experience working in Agile environments with global stakeholders.

Good to Have
- Power BI / Microsoft Fabric
- Event Hubs, Kafka, or Spark Structured Streaming
- Fintech, trading, financial services, or other regulated/high-volume environments
- Data privacy and regulatory reporting experience

Why Join?
- Lead a high-impact data platform supporting a global trading business .
- Work with modern technologies including Azure, Databricks, ClickHouse, and dbt .
- Lead a globally distributed data engineering organisation.
- Work closely with Product, Finance, Risk, Compliance, and Engineering stakeholders.
- Drive meaningful technical and organisational impact at scale.

If you're passionate about building reliable, scalable data platforms while leading strong engineering teams, we'd love to hear from you.

📌 Data Engineering Manager | 7-14 YoE | Australia's Leading Fintech Brand| Hybrid- Bangalore (Bengaluru)
🏢 Geektrust
📍 Bengaluru