Lead Enterprise Data Architect

White Cap International - Downtown Atlanta, GA

Full-time - Senior

Downtown Atlanta, GA

Food Services and Drinking Places

About the position

The Data Architect position at White Cap is responsible for designing, implementing, and managing the organization's data architecture. This role involves developing and maintaining data infrastructure that aligns with business goals and industry standards, ensuring efficient data management and analysis. The Data Architect collaborates with senior leadership and various teams to create data warehouse solutions and reporting tools that meet analytical needs.

Responsibilities

• Develop and execute data strategy aligned with organizational objectives by collaborating with stakeholders to understand business goals.
• Define and document data architecture principles, standards, and guidelines to ensure efficient data management.
• Design, create, and maintain conceptual, logical, and physical data models to meet business requirements including data modeling, governance, warehouse aggregation, and BI tooling.
• Develop and manage an enterprise-wide data dictionary and metadata repository efficiently to support diverse data needs across the data platform.
• Evaluate, select, implement, and manage database technologies based on performance, scalability, and business needs.
• Stay informed about emerging technologies, tools, and trends in data architecture to enhance platform scalability, resilience, and reliability.
• Design, implement, and maintain data integration processes, including ETL processes, to ensure seamless data flow between systems.
• Establish and enforce data governance policies and procedures, define data quality standards, monitor adherence, and provide training on data architecture best practices.
• Create and maintain documentation for data architecture and related processes.
• Implement and enforce data security measures to protect sensitive information and ensure compliance with data privacy regulations and industry standards.
• Optimize database performance to ensure efficient data access and processing, utilizing exploratory analytics and data mining to drive innovative data utilization strategies.
• Troubleshoot and resolve data-related performance issues to maintain optimal system functionality.
• Facilitate collaboration among cross-functional teams, including developers, analysts, and business stakeholders, to design scalable systems.
• Effectively communicate complex technical concepts to non-technical stakeholders to ensure understanding and alignment.

Requirements

• Typically requires a PhD degree and 15+ years of specialized experience in a related field OR MS/MA and generally 10+ years of experience in a related field.
• 10+ years proven experience as a Data Architect or in a similar role - REQUIRED.
• 5+ years of experience with cloud data technologies including Azure, Snowflake, AWS, Apache Airflow - REQUIRED.
• Strong knowledge of database management systems and data integration technologies.
• Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.).
• Experience with programming languages - SQL, Python, and AWS Glue.
• Deep understanding of API connectivity and data streaming architecture.

Nice-to-haves

• Master's degree in Computer Science, Information Technology, or a related field.
• Must have a track record of building solid and effective working relationships and trust of IT leaders.