The Director of Data Architecture will lead the design and execution of the enterprise data strategy, ensuring scalable, secure, and high-performing data solutions that enable advanced analytics and business intelligence. This role will oversee data warehousing, integration, governance, and architecture standards across the organization, with a strong focus on leveraging modern cloud technologies. Experience with Snowflake and other cloud-based platforms is highly desirable.
This role will be essential in ensuring the company's centralized data tables are architected for accuracy, scalability, and long-term growth. The Director will also lead the design and implementation of new data feeds that integrate core enterprise platforms - including Workday, SAGE, HubSpot, Ironclad, and ServiceNow - enabling seamless data flow and reliable reporting and analytics across the organization
Key Responsibilities
- Develop and implement a comprehensive data strategy aligned with business objectives and future-state architecture.
- Design and maintain enterprise data architecture, including data models, integration patterns, and governance frameworks.
- Lead the development and optimization of data warehousing solutions, ensuring scalability and performance for analytics and reporting.
- Partner with IT, Finance, and Business teams to enable data-driven decision-making through robust architecture and best practices.
- Oversee data migration and transformation initiatives, ensuring accuracy, security, and compliance.
- Establish and enforce data governance policies, including metadata management, data quality, and security standards.
- Drive adoption of cloud-based data platforms (Snowflake experience strongly preferred) and modern ETL/ELT tools.
- Manage and mentor a team of data architects and engineers, fostering a culture of innovation and collaboration.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- 10+ years of experience in data architecture, with at least 5 years in a leadership role.
- Proven expertise in data strategy, modeling, and warehousing.
- Hands-on experience with Snowflake, cloud data platforms (AWS, Azure, GCP), and modern data integration tools.
- Strong understanding of data governance, security, and compliance frameworks.
- Excellent leadership, communication, and stakeholder management skills.
Preferred Skills
- Experience with BI tools (Power BI, Tableau) and advanced analytics platforms.
- Familiarity with data lakehouse architectures and real-time data processing.
- Knowledge of financial and operational data domains is a plus.