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Engineering Manager - Data

Axi
Posted this week

LOCATION

India · Onsite

EXPERIENCE

7 - 14 Years

SKILLS REQUIRED

Data EngineeringDatabricksData GovernanceTeam LeadershipData WarehousingCI/CDPower BISQL

Job description

Overview

Lead Axi's global Data team, which owns the company's data end-to-end across ingestion, modelling, reporting, and alerting, on a Microsoft/Azure platform with Databricks and ClickHouse supporting a 24/7 trading business.

What you'll do

  • Lead and grow a distributed team of data engineers and analytics engineers building Axi's data platform on Azure, Databricks, and ClickHouse.
  • Own all data elements end-to-end: ingestion, data models, pipelines, reporting, dashboards, and alerting.
  • Set technical direction for the data architecture, including modelling standards, data contracts, and the right use of Databricks vs. ClickHouse.
  • Drive dbt-based pipeline development, testing, and data validation so the business can trust its numbers.
  • Own data governance and security: cataloguing, lineage, access control, PII protection, and regulatory compliance.
  • Ensure reliability and cost efficiency of the platform through clear SLAs, monitoring, alerting, and CI/CD for data.
  • Partner with Product, Finance, Risk, Compliance, and engineering PODs to prioritise data needs and deliver trusted reporting.

What you'll need

  • 7–14 years in data engineering, with 3+ years leading data teams as a tech lead or engineering manager.
  • Proven track record delivering reliable data platforms and reporting in fintech, trading, or other regulated, high-volume environments.
  • Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and advanced SQL.
  • Experience with ClickHouse or similar real-time analytical databases, including schema design and performance tuning.
  • Solid dbt experience: modelling, testing, documentation, and data quality frameworks.
  • Good knowledge of Azure data services: ADLS Gen2, Data Factory, Event Hubs, Key Vault, Microsoft Entra ID, and Microsoft Purview.
  • Strong grasp of data governance and security: RBAC, row/column-level security, encryption, masking, auditing, and retention.
  • Experience with reporting and alerting tools (Power BI or similar) and CI/CD for data (Azure DevOps or GitHub Actions).
  • Comfortable working in an Agile setup with global stakeholders across time zones.

Details

  • Location: India.

Read the full description and apply on the company’s own careers page.

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Engineering Manager - Data