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Crowe

Public accounting, tax, and advisory services

Senior Data Architect - Associate Director

Data Management +1Confirmed live in the last 24 hours
Full-time$151.1k - $318.6k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Analytics, Data/Information Science, Information Systems, Mathematics, or another related field is required.
  • At least 6 years of experience with SQL is required.
  • At least 4 years of experience in Business Intelligence, data analysis, and reporting is required.
  • At least 4 years of experience with Microsoft Power BI, including DAX, Power Query, and M language, is required.
  • At least 2 years of experience with Python or another programming language is required.
  • At least 4 years of experience managing projects from inception to execution is required.
  • The role requires an understanding of privacy laws and regulations.

Responsibilities

  • Establish and deliver the enterprise information architecture vision for enterprise-level solutions, aligned with business strategy and technology direction.
  • Own the successful results of the Data Warehouse and Business Intelligence teams within Data Transformation.
  • Develop team strategy and roadmaps, establish timelines, assign resources, and develop goals aligned with Data Transformation and Crowe strategic initiatives.
  • Identify opportunities to deliver business or customer value through enterprise data and Business Intelligence strategies.
  • Mentor and coach developers, data engineers, managers, and other team members, and manage career growth through mentorship and proactive planning.
  • Participate in technical guilds and collaborate on firmwide best practices.
  • Delegate work, manage resources, and own the team's overall success.
  • Track and communicate the value and delivery timing of team initiatives to the Head of Data and business stakeholders.
  • Collaborate with the Head of Data and firm leaders to understand business needs, plan team and technology capacity, and align resources with strategic requirements.
  • Engage with the business 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 Business Intelligence team and Data Transformation leaders to establish goals, plan capacity, support initiatives, and allow 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 and firmwide standards, and identify opportunities to automate and improve.
  • Establish metrics to demonstrate value to the business, monitor effectiveness and quality, monitor sensitive data, and identify negative trends.
  • Work with stakeholders to prioritize continuous improvement and assess opportunities to retire or consolidate redundant legacy systems.
  • Support solution adoption and value realization with the team and business users, and define and track adoption and value-creation metrics.
  • Translate strategic requirements into an enterprise information architecture, including enterprise data models, common business vocabularies, ontologies, and taxonomies, to guide enterprise solution development and ensure consistency of information assets.
  • Create information architecture consistent with business, application, and technical architectures.
  • Map and trace information assets from source datastores to targets to ensure transparency, quality, consistency, and controlled redundancy.
  • Mentor delivery teams in providing data solutions aligned with enterprise information architecture.
  • Assess vendor solutions for suitability to meet enterprise information requirements.
  • Construct, refine, and maintain information models to meet business requirements and drive data designs for operational and analytical solutions.
  • Facilitate integrative and canonical views of data or information across content types to support information asset migration planning or impact analysis.
  • Ensure new development aligns and integrates with enterprise information architecture, using metadata management or a repository to promote reuse and standards adoption.
  • Review corporate data sources for new business information and improved data sources, and assist with post-implementation improvements to enhance performance and functionality.
  • Participate in project design reviews to ensure application designs adhere to enterprise information architecture guidelines.
  • Oversee the Business Intelligence Data Warehouse and design an enterprise-wide integrated data warehouse for Business Intelligence by modeling new and enhancing existing datamarts.
  • Establish logical and physical models, maintain metadata, and guide integration engineers on physical datamart schemas and logical integration and ETL processes.
  • Assist with testing and issue resolution as required.
  • Establish and enhance data warehouse governance processes, including naming conventions, conformed dimensions and facts, metamodels, and security configurations, to ensure consistent implementation across datamarts.
  • Deliver implementation project artifacts, including a Data Integration Inventory, 360 Data Integration Diagram, core structures diagram, Data Integration Requirements document, test plans, report inventory, reporting gap analysis and strategy, and historical data strategy.
  • Manage and coach BI team members in delivering high-quality Business Intelligence solutions.
  • Estimate effort and duration for new requests and change orders, track the work queue, and assign and adjust priorities and due dates based on client requirements and Data Transformation leadership direction.
  • Provide the BI team visibility into Data Transformation projects and the project pipeline, and facilitate collaboration on BI and data warehouse design and technical challenges.
  • Establish, document, and maintain Business Intelligence and data warehousing best practices.

Desired Qualifications

  • Microsoft Fabric Analytics Engineer certifications are preferred.
  • Strong understanding of data warehousing and Business Intelligence concepts, data quality, and related technology landscape, 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 overall value to the firm.
  • Ability to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
  • Good written and verbal communication.
  • Strong analytical and time management skills.
  • Strong facilitation skills and ability to drive issues to closure.
  • Self-motivation and ability to handle tasks with minimal supervision or questions.
  • Ability to compare technologies and make recommendations to senior team members.

About the Company

Crowe

Public accounting, tax, and advisory services

Crowe provides audit, tax, and consulting services to public and private entities as a public accounting and advisory firm. It uses its industry knowledge to examine financial statements, plan and file taxes, and advise on business strategy and risk, delivering services through a global network. Crowe’s work is supported by its independent Crowe Global network, which brings together more than 200 member firms in over 130 countries to serve clients worldwide. This global scale enables access to industry specialists and diverse resources while maintaining a focus on client-specific needs. The company aims to help organizations manage financial reporting, regulatory compliance, and business decisions with accuracy and insight.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
1942

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