Principal Data Architect

• Design, build, and maintain robust, scalable ETL/ELT pipelines to support analytics, reporting, and operational systems.
• Develop a flexible, scalable integration architecture to aggregate data from multiple internal and external sources, including CRM, event platforms, learning management systems, survey tools and more.
• Collaborate with IT and other departments to support cloud infrastructure (e.g., Azure, AWS, GCP) and ensure data systems scale with organizational growth.
• Build and maintain data models that align with business and analytics opportunities, ensuring reliability, performance, and security.
• Deploy artificial intelligence/machine learning foundations to optimize the use of natural language processing and AI to enable innovation and acceleration, including advanced personalization and recommendations.
• Ensure the implementation and integration of new data tools, platforms, and technologies as part of our evolving technology infrastructure.
• Provide insight to cross-functional teams to identify opportunities for automation and process improvement within our data workflows.
• Implement agile, product development processes to reduce risk, foster innovation, and create new opportunities for cross-functional collaboration and revenue generation.
• Safeguard data quality, integrity, and compliance with relevant data governance and privacy standards.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent experience).
• Experience working in an association or nonprofit environment.
• Proficiency in SQL and at least one programming language (e.g., Python, R, Scala).
• Experience with ETL/ELT tools (e.g., dbt, Talend, Apache Airflow, Azure Data Factory).
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse).
• Experience combining data from diverse sources using common integration approaches.
• Strong understanding of data modeling, warehousing, and architecture supporting structured and unstructured data.
• Knowledge of machine learning, artificial intelligence, and natural language processing.
• Familiarity with data visualization and business intelligence tools.
• Knowledge of data privacy regulations relevant to associations.
• Strong analytical skills and the ability to translate complex data into actionable insights.
• Excellent communication and collaboration skills, with experience working in cross-functional teams.

Pulled from the full job description

• Professional development assistance
• Tuition reimbursement
• 401(k)
• Health insurance
• Vision insurance
• Health savings account
• Dental insurance, * Flexible Works Hours
• Medical, Dental, Vision
• Prescription Plan
• Flexible Spending Account
• Dependent Care Flexible Spending Account
• Health Savings Account
• Generous 401k Retirement Plan
• Employee Assistance Program (EAP)
• AFLAC
• Legal and Identity Theft Plans
• Company Paid Professional Development
• Tuition Reimbursement