Senior Data Architect - CVM & Marketing Analytics

Description: Own the end-to-end technical architecture of the data platform. Define how data is ingested, stored, processed, transformed, served, and governed. Design scalable batch and streaming data architectures. Establish standards for data pipelines, schema evolution, data quality, lineage, and access control. Guide the use of technologies such as Spark, Kafka, Airflow, and SQL. Support multiple deployments of the same data platform for different clients. Requirements: Proven experience as a Data Architect or similar senior role. Strong hands-on experience with batch and streaming data processing. Knowledge of data architecture, ETL/ELT, data warehousing, and lakehouse design. Experience with Apache Spark, Kafka, Airflow, and advanced SQL. Strong understanding of data modeling, schema design, and schema evolution. Ability to evaluate architecture decisions based on scalability, performance, and cost. Benefits: Opportunity to define technical standards and architectural direction. Work closely with data engineers and technical stakeholders. Contribute to data mesh and data product operating models. Design architectures suitable for self-managed and on-premises environments.