Basic Bachelor’s degree in Computer Science, Information Systems, or a related field Master’s degree Experience with database structure principles, data modeling, and metadata management 12+ years of proven experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics Experience designing data platforms for large-scale data and diverse data architectures, including warehouses, lake houses, and integrated data stores Experience in marketing data and analytics, including attribution models, propensity models, segmentation, contact & customer databases, and campaign tracking Experience with CRM systems (e.g., Salesforce, Iterable, Eloqua) and their integration with data warehouses Experience with a variety of technologies: SQL, Bash, Python, Java, Spark, AWS, DataOps, DevSecOps, data stacks like Airflow, dbt, and data stores like Snowflake, Aurora Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR) Experience addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives Experience with analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data Experience managing projects effectively, planning tasks, setting priorities, and meeting deadlines in a fast-paced environment Preferred Excellent analytical and problem-solving skills, with a proven ability to align complex data architecture decisions with organizational AI/ML business goals Strong communication and collaboration skills to work effectively across team boundaries