• Drive the roadmap for the data platform, balancing short-term delivery needs with long-term innovation and scalability.
• Manage vendor relationships, contracts, and technical partnerships to support the data stack.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
• Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or Google Cloud Platform).
• Deep understanding of medallion architecture and its application in scalable data solutions.
• Strong experience with Tableau or similar BI tools (Power BI, Looker).
• Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
• Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
• Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics.
• Strong leadership, project management, and communication skills.
• Experience in highly regulated or enterprise-scale environments.
• Knowledge of data privacy, compliance, and ethical considerations in data & AI.
• Certification in Snowflake, Tableau, or cloud data platforms is a plus.
Never miss an opportunity! Create an alert based on the job you applied for.
