> Markdown version of [/jobs/ext/2659983-principal-data-architect](https://www.wearedevelopers.com/jobs/ext/2659983-principal-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Architect - **Company:** AMERICAN SOCIETY OF ASSOCIATION EXECUTIVES - **Location:** Washington, DC, United States - **Salary:** $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Application Integration Architecture, Microsoft Azure, BigQuery, Cloud Computing, Information Systems, Learning Management Systems, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Cloud Services, SQL Databases, Talend, Unstructured Data, Google Cloud, Azure Data Factory, Snowflake, Information Technology, Operational Systems, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Programming Languages - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6d97b82d847f73cc ## About the Role * 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. ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)