Data Warehouse Manager
Classification: Exempt/Full Time ... Department: Operations
Reports To: VP, Technology
Job Summary As a Data Warehouse Manager, you will be responsible for overseeing the design, implementation, and optimization of the Brand USA data warehouse infrastructure. Your role will play a crucial part in ensuring the seamless integration of data sources and the development of effective data visualization solutions to enhance overall business intelligence. Essential Functions
• Manages the tactical and strategic initiatives covering the infrastructure, implementation, integration, maintenance, support, security, and performance of data warehouse systems and projects.
• Leads teams to create a vision for how data elements from multiple sources should fit together as a whole and execute on that plan to mature the business towards a data-driven organization.
• Drive advocacy, adoption, and business satisfaction of the data warehouse through value generation, advanced reporting, integration of feedback, and multi-year product roadmap.
• Oversee the development and maintenance of Extract, Transform, Load (ETL) processes for seamless data integration from various sources into the data warehouse.
• Ensures data pipelines are efficient, scalable, and reliable, and that data models are designed to meet business requirements.
• Installs processes for auditing data warehouses and ensuring data quality - establishing data governance policies, procedures, and documentation.
• Work closely with all stakeholders to understand their analytical needs and translate complex data sets into visually compelling insights.
• Ensure compliance with data protection regulations and industry standards.
Job Qualifications
• Well-versed in data pipe-lining, data warehousing, data modeling, batch/stream processing and associated architectures, database performance, and reporting metrics.
• Strong understanding of cloud infrastructure and cloud computing concepts, ideally on GCP.
• Hands-on experience with relevant technologies and tools such as SQL, Python, UNIX/Linux, Shell Scripting, BigQuery, distributed data processing, and software development methodologies.
• Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units.
• Optimize ETL workflows to enhance data processing speed and efficiency.
• Monitor and optimize the performance of the data warehouse, identifying and addressing bottlenecks and inefficiencies.
• Implement best practices for indexing, partitioning, and query optimization.
• Implement and enforce security protocols to safeguard sensitive data within the data warehouse.
• Ability to lift up to twenty (20) pounds.
• Ability to perform the essential functions with or without a reasonable accommodation.
• May require more than forty (40) hours per week to perform the essential duties of the position.
SCHEDULE
Brand USA’s business hours are Monday through Friday, from 8:30 a.m. to 5:30 p.m. Our standard work hours may vary based upon position requirements. Additional hours may be required during peak times, which may require an adjusted work schedule, overtime, and evening/weekend hours in order to meet deadlines.
Americans With Disabilities Act (ada)
Brand USA will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990.
Brand USA has an organizational commitment to the principles of diversity and inclusion. In that spirit, we welcome all qualified individuals without regard to race, religion, creed, color, gender, sexual orientation, age, disability, economic circumstances, national origin or veteran status
