Lead Data Engineer

Overview

Lead Data Engineer for the Customer 360 Data Product, spearheading technology and data initiatives within the Customer & Sales data domain.

What you'll do

• Propose and implement integration protocols, data acquisition, and ingestion processes.
• Establish a consistent Common Data Model and enable teams to analyze large datasets.
• Support development and adoption of data product roadmaps across regions and teams.
• Collaborate on Customer data strategy by identifying and prioritizing data requirements.
• Contribute to hands-on data integration, data operations processes, and data engineering logic.
• Help maintain data governance frameworks with business data owners and regional partners.
• Ensure high data quality standards, including completeness and interoperability.

What you'll need

• 7+ years in IT specializing in Data & Technology Architecture, Data Engineering, and Data Operations is required.
• Undergraduate degree in relevant fields; an advanced degree is preferred.
• Ability to interpret data and propose ingestion, storage, integration, and visualization logic for Customer & Sales data domain.
• Minimum 5 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake).
• Minimum 5+ years working with data integration techniques (API, stream, file) using DBT, SQL/PySpark, and Python is required.
• Deep knowledge of Data Governance, Master Data Management, Data Harmonization, Data Cataloging, Data Architecture, and Data Quality principles is required.
• Excellent interpersonal and communication skills, including explaining concepts to business leaders and technologists.

Details

• Location: Asia Pacific, India, Karnataka, Bangalore.
• Work mode: Hybrid.
• Role reports to: Manager, Data Solutions.