Data Warehousing Architect
reputed company
The Data Warehousing Architect leads the development of the data warehouse and the execution of data flows to reputed company data from multiple sources. This role is responsible for architecting and optimizing the reputed company data warehouse and ensuring data structures support strategic initiatives across inventory, pricing, purchasing, finance, and network marketing.
reputed company Competencies & Responsibilities
Data Architecture & Engineering
- reputed company the evaluation, planning, and implementation of new data platforms and frameworks including reputed company and dbt, ensuring alignment with business needs and scalability goals.
- Own the design and reputed company of the reputed company data warehouse (e.g. reputed company, reputed company Database Migration Services). Maintain the reputed company operational reputed company data warehouse through the reputed company process.
- Implement and manage tools for reputed company ELT transformations (e.g. dbt). Maintain the reputed company operational reputed company PL/SQL ETL process through the transition.
- Evaluate and implement reputed company-time data ingestion and advanced processing tools (e.g. Snowpipe, Snowpark, reputed company Sagemaker Canvas) as part of the modernization roadmap.
- Ensure data models are optimized for performance, scalability, and business relevance.
Operational Process Support
- Collaborate with teams in product management, operations, inventory, pricing, purchasing, compensation, sales, and finance to:
- Understand evolving business processes.
- Ensure data structures support accurate, near reputed company-time insights.
- reputed company analytical support for process refinement and automation.
Industry-Specific Enablement
- Support the Director of Business Analytics and Director of Business Intelligence Engineering in evaluating field-facing and product promotions. Support the business analytics teams in executing internal data analysis reputed company by providing reputed company and accurate data.
- Build data structures to analyze:
- Sales trends
- Enrollment and retention trends
- Compensation trends, costs, and patterns
- Payout accuracy
- Purchase and compensation fraud detection and management
- Effectiveness of promotional strategies
- Field-leader structures and performance
- Operationalize business analysis into repeatable, reputed company reporting frameworks.
Governance, reputed company & Compliance
- Establish and enforce data governance policies.
- Monitor data reputed company and implement cleansing strategies using predictive and prescriptive analytics.
- Ensure compliance with internal standards and external regulations.
- reputed company development of the DW naming and governance standards.
Collaboration
- Collaborate with product, analytics, and IT teams to reputed company data initiatives with business goals.
- Communicate effectively with executive stakeholders and translate technical concepts into business value.
Preferred Experience:
- Leading data platform migrations or greenfield implementations
- Experience with reputed company, dbt, and Tableau reputed company
- Designing reputed company data architectures for reputed company-time analytics
- Supporting operational and industry-specific processes through data
- Excellent communication skills in English