Remote 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.