MDM Engineer

• Design and build the MDM solution, including golden record creation, match/merge, de-duplication rules, survivorship logic, and hierarchy management.
• Map and maintain master data domains across customer, vehicle/VIN, dealer/service center, parts & materials, vendor, and employee entities.
• Operationalize data governance and stewardship by helping assign data owners, standardizing definitions, and building approval workflows.
• Build and maintain ETL/ELT pipelines to ingest, cleanse, standardize, and sync master data between source systems and the central MDM/data warehouse.
• Publish master data back to source and downstream systems using APIs, reverse ETL, or event/CDC pipelines.
• Implement data quality monitoring and dashboards to track completeness, accuracy, and duplication metrics across master domains.
• Evaluate and administer MDM tooling (Informatica MDM, SAP MDG, Reltio, Semarchy) or extend an in-house framework on the existing data stack.
• Partner with Sales, Service, Supply Chain, Finance, and HR to align on data standards, maintain metadata, a data catalog, and source lineage.

**Location: IBC Knowledge park, Bangalore**

**Reporting to: Data Engineering Manager**

**Team name: Data Engineering**

The Data Engineering team at Ather is responsible for shaping and building how Ather Energy manages its most critical data assets — customer, vehicle, dealer, parts, and vendor records.

This role is for a Master Data Management (MDM) Engineer who will build and scale the MDM framework that keeps master data clean, consistent, and trusted, enabling every team to work from a single source of truth.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4-6 years of proven experience in data engineering, with a focus on master data management, data governance, or data quality.

• Core Master Data Management concepts including match/merge, survivorship, golden record, and hierarchy management with hands-on exposure to enterprise MDM tools.
• Advanced entity resolution techniques covering deterministic and probabilistic/fuzzy matching alongside defining survivorship rules.
• Strong hands-on SQL skills and experience building ETL/ELT, reverse ETL, API, or CDC pipelines for bi-directional data flow.
• Proficiency with Python for data cleansing, automation, and validation scripts, along with hands-on experience in Databricks, GCP, and data lake/warehouse solutions.

• Working knowledge of Data Governance frameworks and Data Privacy regulations such as DPDPA and GDPR.
• Familiarity with data cataloging, metadata, and lineage tooling like Unity Catalog, Collibra, or Alation.
• Exposure to data quality frameworks and tooling such as Great Expectations, Informatica DQ, or Talend DQ.
• Industry exposure or prior experience within automotive, EV, or manufacturing environments.

Want to know more?

At Ather, we’ve built India’s first intelligent scooter, from scratch. Based on the philosophy of clean design and smart technology, we are transforming the urban commute experience. We are expanding in India, and in the coming years, we look forward to scaling up and launching more products globally. Today, our product offerings include the Ather 450X, 450S, 450 Apex, and Rizta. Beyond the product, we are also setting up an extensive charging network and re-imagining end-to-end ownership experience. To know more, check out our Careers site and our Substack.