The Data Architect will lead the design and evolution of the complete data architecture for the Consumer Canvas platform. You will shape systems that support data ingestion, identity resolution, enrichment, governance, and activation—ensuring they are scalable, secure, and compliant with privacy standards.
Key Responsibilities
- Define and maintain the full lifecycle architecture of the Consumer Canvas data platform
- Design robust data workflows across ingestion, identity spine development, and activation layers
- Work closely with Data Engineering, Data Science, Machine Learning, and Product teams to align technical solutions with business goals
- Establish and enforce standards for PII handling, data security, and governance practices
- Translate complex requirements into efficient, future-proof data models and system designs
- Provide technical leadership and mentorship within Agile development cycles
- Engage in hands-on design, prototyping, and validation of new architectural patterns
What You’ll Need
- Demonstrated experience designing end-to-end data architectures for large-scale platforms
- Hands-on expertise with Snowflake, Databricks, identity resolution systems, and data pipeline frameworks
- Proven ability to build data systems that are high-performing, secure, and privacy-compliant
- Experience working across technical domains including data engineering, machine learning, and product development
- Skill in transforming complex business needs into scalable technical solutions
- Active participation in Agile design, testing, and iterative development processes
