- 13+ years of experience in Data Engineering or Data Integration Architecture, including at least 2 years working with customer or marketing data systems.
- Hands-on production experience with Databricks, Snowflake, and Kafka —

experience with all three technologies is mandatory.

- Proven experience independently leading discovery sessions and developing integration blueprints for client engineering teams to implement.
- Successfully delivered at least one end-to-end data warehouse or streaming integration with a Marketing Automation Platform (MAP), such as Braze, Salesforce Marketing Cloud (SFMC), Customer.io, Iterable, or Klaviyo.
- Experience designing identity models across multi-entity or multi-brand environments,



with a clear understanding of data isolation and strategies to prevent cross-brand data leakage.
- Proven experience designing or auditing consent and subscription management models covering both transactional and marketing communications.
- Robust communication and stakeholder management skills, with the ability to present and defend architectural decisions and trade-offs to client engineering leaders.
- Ability to create detailed, implementation-ready technical specifications that engineering teams can execute independently without requiring additional clarification meetings.

📌 Data Integration Architect (India)
🏢 EduRun Group
📍 India