10+ years of experience.

- Degree in business, computer science, statistics, applied mathematics or other quantitative field
- 10+ years of professional experience creating and supporting enterprise data models and data architecture solutions
- 5+ years working with large, global teams
- Marketing and Engagement data architecture experience
- A proven track record driving innovation and company growth
- Expertise in enterprise architecture frameworks, data modeling standards (i.e., conceptual, logical, physical), and metadata management.
- Extensive experience with enterprise data ecosystems within a cloud environment (AWS/Azure)
- Extensive experience creating and supporting an enterprise data warehouse, master data management & data lake
- Experience with modern distributed data technologies (Glue, Athena, Kinesis, Snowflake), relational database systems (PostgreSQL, MySQL)
- Experience working within a Snowflake environment
- Exceptional critical thinking and analytical skills, with the ability to quickly understand complex systems and data
- Experience working within an AWS environment and AWS technologies
- Experience designing models to be leveraged for AI, BI, and ML purposes
- Demonstrated ability to manage and prioritize workload and roadmaps
- Excellent written and verbal communication skills, including the ability to effectively communicate with both technical and non-technical teams
- Excellent communication and facilitation skills, with the ability to influence outcomes without a formal position of authority
- Self-starter, highly motivated, passionate, enthusiastic and a "can do" attitude
- Experience working in an Agile environment

- Lead the technical delivery of data architecture deliverables for the organization
- Work in tandem with Application Development, Data Engineering, Data Management and Business Intelligence teams to meet business objectives
- Support delivery teams to ensure new projects align to established business and technology architecture and standards
- Manage, version and extend current enterprise data models (both operational and dimensional) and related metadata
- Support the enterprise data governance, data quality and master data management practices across the organization
- Provide technical expertise to create a scalable and rich enterprise data ecosystem
- Be a technical champion to support continuous improvement of our data architectural practices
- Design the future state of data architecture for the organization
- Collaboratively work with other technology teams (application, data, security) to ensure business context and priorities are taken into account when technology decisions are made