Enterprise Data Warehouse Lead ID-4566
Job Description
The Enterprise Data Warehouse Lead leads the data architecture to support Data and Analytics. He/She manages the daily activities of the team responsible for the design, implementation, maintenance, and support of data warehouse systems and related data repositories, ETL technology and data strategies.
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Essential Job Functions:
• Drive the vision, evolution, and innovation of the intelligent big data warehouse and data governance initiatives.
• Collaborating with all leaders in the Data Analytics organization to define the right scope in which to deliver the right product at the right time.
• Be a technical advisor working alongside the team to build a cohesive ecosystem of systems/services to advance the team charter.
• Lead and grow an inclusive and high-performing team where everyone can contribute and make a difference to the team's mission.
• Helping and enabling engineers to grow and flourish in a relatively flat engineering organization.
• Routinely assesses processor and storage capacity across the various data warehouse and ETL platforms and forecasts growth.
• Implements best practice change management protocols for a large-scale data warehousing environment.
• Implements monitoring processes to ensure timely delivery of data to data warehouse.
• Installs processes for auditing data warehouses and ensuring data quality.
• Optimizes data warehouse performance.
• Works collaboratively with both engineering teams, business partners and vendor partners.
• Collaborating with partners to strategize, crystalize and build long-term roadmaps for ambiguous business needs.
• Leading cross functional and cross team projects and bringing it to successful completion.
• Building and operating large-scale distributed services for use by other teams; ideally with experience in cloud-based platforms.
• Building and leading a team of engineers; ideally with experience leading remote employees.
Understanding team needs and learning new approaches to increase representation through additive hiring.
• Exercising strong judgment and making thoughtful decisions with ambiguous situations. Striking the right balance between providing context vs. giving direction. Trading off short-term wins vs. long-term success based on various constraints.
Education/Experience:
• Bachelor's degree in related field or equivalent experience
• 8+ years data warehouse experience, including cloud technologies and iPaas
• 2+ years of people management experience
• Broad understanding of data architecture, dimensional data modeling, structured and unstructured data, data warehouse, data integration, ETL processes and analytics.
• Deep working knowledge of SQL programming.
• Deep knowledge of database integrity and security standards.
Preferred Skills
• Experience with Boomi, PowerBI, SQL Server, Alteryx, and Netsuite
• Experience working in an agile delivery framework and leading scrum teams.