Senior Data Architect – Associate Director

This is a fully remote position, open to applicants in California, +16 more states.

📋 Description

• Define and implement the enterprise information architecture vision for large-scale solutions.

• Lead the implementation of business intelligence and data warehouse solutions, encompassing information architecture and management processes.

• Take responsibility for the Data Warehouse and Business Intelligence teams within Data Transformation.

• Create team strategies, roadmaps, timelines, resource allocations, and measurable goals.

• Provide mentorship and coaching to developers, data engineers, managers, and other team members.

• Collaborate with company leaders to identify strategic business requirements and plan team and technology capacity.

• Ensure the business derives maximum value from investments in data warehouse and business intelligence.

• Be accountable for the quality and timelines of team deliveries.

• Implement development and quality assurance best practices and enhance processes through automation.

• Define metrics for effectiveness, quality, sensitive data monitoring, and identifying negative trends.

• Evaluate opportunities to retire or consolidate redundant legacy system assets.

• Promote solution adoption, utilization, benefit realization, KPIs, and success metrics.

• Convert strategic requirements into enterprise data models, business terminology, ontologies, and taxonomies.

• Maintain information models and enable canonical and integrative data perspectives.

• Oversee the design of BI data warehouses, data marts, logical and physical models, metadata, ETL integration, testing, issue resolution, and governance.

• Produce data integration, reporting, and historical data strategy documentation for large-scale implementation projects.

• Manage the BI team’s work queues, priorities, deadlines, project visibility, and technical collaboration forums.

• Establish, document, and uphold best practices in business intelligence and data warehousing.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Data/Information Science, Information Systems, Mathematics, or a related field.

• Over 6 years of experience with SQL.

• More than 4 years of experience in Business Intelligence, data analysis, and reporting.

• At least 4 years of experience with Microsoft Power BI, including DAX, Power Query, and M language.

• A minimum of 2 years of experience with Python or other programming languages.

• Over 4 years of experience managing projects from conception to execution.

• Microsoft Fabric Analytics Engineer certifications are preferred.

• Strong grasp of Data Warehousing and Business Intelligence concepts, Data Quality, the associated technology landscape, processes, and design principles.

• Proven experience in managing large data warehouse and business intelligence initiatives.

• Experience overseeing enterprise data assets within a large, complex organization.

• Familiarity with current cloud and data management trends and methodologies.

• Capability to analyze intricate situations and formulate actionable solutions.

• Ability to constructively challenge requirements and the existing state of affairs.

• Excellent relationship-building skills.

• Adaptability to manage multiple demands, shifting priorities, ambiguity, and rapid changes.

• Strong written and verbal communication skills.

• Proficient analytical and time management abilities.

• Effective facilitation skills with the capability to drive issues to resolution.

• Self-motivated and able to execute tasks with minimal oversight.

• Ability to evaluate technologies and provide recommendations to senior team members.

• Understanding of privacy laws and regulations.

• Must verify identity and eligibility to work in the United States.

• Crowe is currently not sponsoring work authorization.

🏝️ Benefits

• Genuine flexibility to balance professional responsibilities with personal moments.

• Opportunities for career growth and leadership development.

• Support for employee well-being.

• Guidance from a Career Coach and regular career development meetings.

• An inclusive culture that values diversity.

• A comprehensive total rewards package.

• Equal employment opportunities.

• Availability of applicant accommodations and special assistance.