Data Integration Architect

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.
Strong 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.

Work arrangement
Yes