Senior Data Architect - Associate Director

Crowe Advisory LLC•Dallas, TX

2d•$151,100 - $318,600•Remote

About The Position

Crowe is hiring an Enterprise Information Architect and Business Intelligence & Data Warehouse (BIDW) leader to establish and deliver the enterprise information architecture vision and lead the firm’s BI data warehouse solutions and team. The role owns the results, delivery quality, schedule, and value realization of the Data Warehouse and Business Intelligence teams within Data Transformation. It develops team strategy and roadmaps, manages capacity and priorities, mentors team members, engages business and technology stakeholders, and promotes sound development, quality assurance, governance, and continuous improvement practices. The position translates business strategy into an enterprise information architecture aligned with technology direction. It guides information models, data flows, metadata, standards, and integration across operational and analytical solutions, and provides oversight for an enterprise-wide integrated BI Data Warehouse and its datamarts. The role also leads the BI team’s delivery of high-quality solutions, tracks adoption and performance metrics, and identifies opportunities to improve or retire redundant legacy assets. This position is remote. The stated annual salary range is $151,100 to $318,600. Crowe expects employees to act ethically and with integrity and uphold its values of Care, Trust, Courage, and Stewardship. The application deadline is February 28, 2027.

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 another programming language.
At least 4 years of experience managing projects from inception to execution.

Nice To Haves

Microsoft Fabric Analytics Engineer certifications.
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 the current state to increase value to the firm.
Strong relationship-building skills.
Flexibility to handle 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, establish timelines, assign resources, and set measurable goals aligned with Data Transformation and Crowe strategic initiatives.
Mentor and coach developers, data engineers, managers, and other team members, supporting career growth and planning.
Track and communicate the value and delivery timing of BIDW initiatives to the Head of Data and business stakeholders.
Collaborate with firm leaders to understand strategic business needs and plan team and technology capacity accordingly.
Engage business stakeholders to maximize value from data warehouse and business intelligence investments.
Maintain understanding of business needs, technical architecture, systems landscape, and business technology strategy.
Coordinate with the BIDW team and Data Transformation leaders to establish goals, plan capacity, support initiatives, and account for learning and changing priorities.
Own the quality and schedule of team delivery, working with technology and business personnel to deliver value in a timely manner.
Ensure the team follows development and quality assurance best practices aligned with firmwide standards, and identify opportunities for automation and improvement.
Champion excellence, collaboration, continuous improvement, design thinking, and positivity.
Establish metrics for effectiveness, quality, sensitive-data monitoring, and identifying negative trends; work with stakeholders to prioritize improvements.
Assess and recommend opportunities to retire or consolidate redundant legacy system assets.
Support successful solution adoption, usage, and benefit realization, and 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 enterprise information architecture, including data models, common business vocabulary, ontology, and taxonomies as needed.
Ensure information architecture is consistent with business, application, and technical architectures.
Facilitate mapping and traceability of information assets from source datastores to targets to support transparency, quality, consistency, and controlled redundancy.
Mentor delivery teams and guide data solutions to conform to enterprise information architecture.
Assess vendor solutions for suitability in meeting enterprise information requirements.
Construct, refine, and maintain information models to meet business requirements and guide operational and analytical data designs.
Facilitate integrative and canonical views of information across content types to support migration planning and impact analysis.
Promote reuse and standards adoption through metadata management and repositories, and ensure new development integrates with established enterprise information architecture.
Review corporate data sources for new business information and improved 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 and enhanced datamarts.
Establish logical and physical models, maintain metadata, and guide integration engineers on physical datamart schemas and logical ETL integration processes.
Assist with testing and issue resolution as needed, and establish and enhance BI Data Warehouse governance processes, including naming conventions, conformed dimensions and facts, meta-models, and security configuration.
Deliver project artifacts on large implementation projects, including data integration inventories and diagrams, core structures diagrams, requirements documents and test plans, report inventories, reporting gap analyses and strategies, and historical data strategies.
Lead, oversee, and quality-assure the BI team and its deliverables; coach team members in delivering high-quality BI solutions.
Estimate effort and duration for new requests and change orders; track work queues and adjust priorities and due dates according to client needs and Data Transformation leadership direction.
Provide the BI team visibility into Data Transformation projects and pipeline, and foster collaboration on BI and data warehouse design and technical challenges.
Establish, document, and maintain best practices for Business Intelligence and Data Warehousing.