Senior Data Architect - Associate Director

Crowe•Tampa, FL

8d•$151,100 - $318,600•Remote

About The Position

The Senior Data Architect is responsible for establishing and delivering Crowe’s enterprise information architecture vision and leading the Business Intelligence and Data Warehouse (BIDW) function and team. The role oversees enterprise-level information architecture and the delivery, quality, and schedule of BI and data warehouse solutions, aligning the work with business strategy and the firm’s technology direction. The position develops the BIDW team’s strategy and roadmaps, manages capacity and priorities, mentors team members, and works with firm leaders and stakeholders to ensure investments deliver business value. It establishes standards and best practices for architecture, data modeling, integration, metadata, governance, quality assurance, and BI delivery. The role also drives adoption and value realization, monitors performance and quality metrics, and identifies opportunities for continuous improvement and retirement or consolidation of redundant legacy systems. The role is remote. Crowe expects employees to uphold its values of Care, Trust, Courage, and Stewardship and to act ethically and with integrity. The application deadline is February 28, 2027. Crowe is not sponsoring work authorization at this time. The stated annual wage range is $151,100 to $318,600.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Data/Information Science, Information Systems, Mathematics, or a related field.
At least 6 years of experience with SQL.
At least 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.
At least 2 years of experience with Python or other programming languages.
At least 4 years of experience managing projects from inception to execution.

Nice To Haves

Microsoft Fabric Analytics Engineer certification(s).
Strong understanding of data warehousing and business intelligence concepts, data quality, and related technology landscapes, processes, and design principles.
Proven track record operating large data warehouse and business intelligence programs.
Experience managing enterprise data assets in a large, complex organization.
Familiarity with cloud and data management trends and methodologies.
Ability to analyze complex situations and derive workable actions.
Ability to constructively challenge requirements and current state to increase value to the firm.
Strong relationship-building skills.
Flexibility in responding to multiple demands, shifting priorities, ambiguity, and rapid change.
Good written and verbal communication skills.
Strong analytical and time-management skills.
Strong facilitation skills and ability to drive issues to closure.
Self-motivated and able to handle tasks with minimal supervision or questions.
Ability to compare technologies and make recommendations to senior team members.
Understanding of privacy laws and regulations.

Responsibilities

Own and be accountable for successful results of the Data Warehouse and Business Intelligence teams within Data Transformation.
Provide thought leadership on enterprise data architecture and stay current on applicable technologies, patterns, and methods.
Develop team strategy and roadmaps; socialize plans, establish timelines, and assign resources for the BIDW team.
Identify ways enterprise data and BI strategies can support Crowe’s strategic business goals and create value for the firm or its customers.
Set quantifiable team goals aligned with Data Transformation and Crowe strategic initiatives.
Mentor and coach developers, data engineers, managers, and other team members, supporting their career growth.
Participate in and collaborate with technical guilds to promote and align the firm on best practices.
Track and communicate the value and delivery timing of BIDW initiatives to the Head of Data and business stakeholders.
Collaborate with the Head of Data and firm leaders to understand strategic needs and plan team and technology capacity.
Engage with the business to maximize value from data warehouse and business intelligence investments, maintaining an understanding of business needs, technical architecture, systems, and technology strategy.
Coordinate with BIDW and Data Transformation leaders to set goals, plan capacity, support initiatives, and account for learning and unforeseen changes.
Own team delivery quality and schedule, working with business and technology personnel to deliver solutions in a timely manner.
Ensure development and quality assurance follow firmwide standards and seek opportunities to automate and improve.
Champion excellence, collaboration, continuous improvement, design thinking, and positivity.
Establish metrics to demonstrate business value and monitor effectiveness, quality, sensitive data, and negative trends.
Work with stakeholders to prioritize continuous improvement and assess opportunities to retire or consolidate redundant legacy systems.
Support successful adoption and benefit realization of solutions; define and track adoption and value-creation KPIs.
Establish an enterprise information architecture vision aligned with business strategy and technology direction; translate strategic requirements into usable architectures, models, vocabularies, ontologies, and taxonomies.
Facilitate mapping and traceability of information assets from source datastores to targets to promote transparency, quality, consistency, and controlled redundancy.
Mentor delivery teams and ensure data solutions conform to the enterprise information architecture, including assessing vendor solutions and constructing, refining, and maintaining information models.
Facilitate integrated and canonical data views across content types to support migration planning and impact analysis.
Promote reuse and standards adoption through metadata management or repositories, and ensure new development integrates with the established architecture.
Review corporate data sources for new business information and better data sources; support post-implementation improvements to performance and functionality.
Participate in project design reviews to ensure application designs adhere to enterprise information architecture guidelines.
Oversee the BI Data Warehouse, designing an enterprise-wide integrated warehouse and modeling new or enhanced BIDW datamarts.
Establish logical and physical models, maintain metadata, and guide integration engineers on physical datamart schemas and logical integration/ETL processes; assist with testing and issue resolution as needed.
Establish and enhance BI Data Warehouse governance, including naming conventions, conformed dimensions and facts, meta-models, and security configuration.
Deliver project artifacts for large implementations, including data integration inventories and diagrams, core structures diagrams, integration requirements and test plans, report inventories, reporting gap analyses and strategies, and historical data strategies.
Lead, oversee, and assure the quality of BI team deliverables; manage and coach team members, estimate effort and duration, track work queues, and adjust priorities and due dates.
Provide the BI team visibility into Data Transformation projects and pipeline and a forum to collaborate on BI and data warehouse design and technical challenges.
Establish, document, and maintain Business Intelligence and Data Warehousing best practices.