Are you ready to shape the future of data in a mission-driven organization? Our association client is seeking a visionary Director of Data Architecture to lead enterprise-wide data initiatives and architect the foundation for a truly data-driven culture. This is a high-impact leadership role where your expertise will directly influence strategic decisions, innovation, and member engagement.
About the Role
As the Director of Data Architecture, you will be the driving force behind the design and implementation of scalable, secure, and future-ready data systems. You’ll collaborate across departments to unlock the power of data, enabling advanced analytics, AI/ML capabilities, and actionable insights that support the organization’s mission and growth.
Key Responsibilities
- Architect and implement modern, scalable data solutions that support current needs and future AI/ML integration.
- Design logical and physical data models that align with business processes and strategic goals.
- Recommend and deploy cutting-edge database and cloud technologies to ensure optimal performance, security, and scalability.
- Lead the development and maintenance of robust ETL pipelines and data workflows across diverse data sources.
- Partner with cross-functional teams to deliver impactful dashboards, reports, and analytics tools.
- Champion data governance, quality, and compliance standards across the organization.
- Continuously evaluate and optimize data architecture for performance, cost-efficiency, and innovation.
- Work hands-on with BI tools, SQL, cloud platforms, and scripting languages (e.g., Python, R) to deliver high-value analytics solutions.
- Stay ahead of emerging trends in data, analytics, and AI to drive continuous improvement and competitive advantage.
Qualifications
Education & Certifications
- Bachelor’s degree or higher in Computer Science, Data Science, or a related field.
- Certifications in cloud platforms (AWS, Azure, Google Cloud) strongly preferred.
- Additional certifications in data management and analytics are a plus.
Experience
- 8+ years of progressive experience in data architecture, analytics, and IT solution delivery.
- Proven leadership in mid- to large-scale data initiatives with measurable business impact.
- Deep expertise in cloud-based data architecture (AWS, Azure, GCP).
- Hands-on experience with Agile, Git, and CI/CD practices.
- Applied experience in predictive analytics, machine learning, and AI-driven insights.
- Preferred: Experience with association or nonprofit data (e.g., CRM/AMS, advocacy, events, membership engagement).
Technical Skills
- Mastery of SQL, NoSQL, and complex ETL/data integration strategies.
- Proficiency with modern data platforms (e.g., Snowflake, Databricks, Data Fabric).
- Strong command of BI tools (Power BI, Tableau, Looker) and data visualization best practices.
- Programming skills in Python, R, or similar for analytics and automation.
- Familiarity with JavaScript and PHP for data-driven web applications is a plus.
Leadership & Communication
- Strategic thinker with the ability to align technical solutions with organizational goals.
- Excellent communicator who can translate complex data concepts for executive and non-technical audiences.
- Collaborative leader who thrives in cross-functional environments.