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Radiant Info Systems

Enterprise Data Architecture/Design

Full-TimePosted on 2/26/2026
No salary listed
Expert
Mt Laurel Township, NJ, USA
In Person
Data & AnalyticsData Management

About the job

Requirements
  • 10+ years of experience in an Enterprise Data Architecture/Design role, preferably in the financial services sector.
  • Experience in retail and commercial banking and regulatory reporting such as Basel and Dodd-Frank.
  • Experience in people management, including coaching, team leadership, and performance reviews.
  • Expertise in enterprise data modeling, including conceptual, logical, and physical data models.
  • Experience in data warehouse and data mart modeling, including relational and dimensional data models.
  • Expertise in data integration, operational data stores, data warehousing, and business intelligence reporting and analytics architecture and implementation.
  • Expertise in master data management and reference data management architecture, modeling, and implementation.
  • Experience in metadata management architecture and implementation.
  • Experience in data quality and data governance.
  • Experience in big data architecture.
  • Experience or knowledge of service-oriented architecture and design concepts, such as canonical modeling.
  • Strong relational database experience with DB2, Oracle, and SQL Server.
  • Experience with data modeling tools such as PowerDesigner and Erwin.
  • Experience with extract, transform, and load tools such as DataStage and Informatica.
  • Experience with specialized data appliances such as Netezza and Exadata.
  • Experience with business intelligence reporting and analytics tools such as Cognos, SAS, BusinessObjects, and Tableau.
Responsibilities
  • Lead and collaborate in strategic initiatives including enterprise data modeling, master data management, reference data management, metadata management, big data, data quality and governance, data warehousing, and business intelligence and analytics.
  • Develop a flexible and scalable architecture for an integrated information environment that meets business requirements cost-effectively.
  • Establish guiding principles, standards, and best practices for business-driven data architecture and related technologies from an enterprise perspective.
  • Provide a reference architecture framework for data management, business intelligence, and analytics domains and functions.
  • Provide a roadmap and timelines for migrating existing environments to the future-state architecture.
  • Provide architectural guidance to regulatory data programs such as Dodd-Frank CCAR, Basel, RISE, and other risk and line-of-business projects.
  • Coordinate proactively with other enterprise teams, build and sustain consensus, and ensure compliance across involved teams.
  • Provide data strategy and governance leadership for data architecture and develop technology solutions aligned with the enterprise data management strategy.
  • Articulate, oversee, and direct project data architects responsible for producing project data deliverables.
  • Track project progress for data architecture deliverables to ensure timely delivery and efficient staffing and use of data architecture resources.
  • Provide thought leadership by contributing to the creation and continuous refinement of capabilities and best practices within the data management organization.
  • Develop and maintain relationships across lines of business to influence and accomplish strategic data architecture objectives.
  • Analyze business requirements to evaluate and recommend optimal solutions within technology architecture.
  • Provide guidance on data integration, data warehousing, data marts, and database analysis, design, and build efforts.
  • Ensure database designs fulfill requirements for data volume, frequency, and long-term data growth.
  • Provide guidance on big data and Hadoop architecture, business intelligence reporting, and analytics.
  • Provide guidance on data model management, master data management, reference data management, metadata management, data life cycle management, data security, and data quality.
  • Conduct or contribute to ongoing assessments of banking regulatory data architecture strategy and influence business and information technology decisions to maintain consistency.
  • Support development, documentation, communication, and execution of a comprehensive regulatory data architecture strategy, policies, and solutions.
  • Contribute to or develop the process for making technology standards decisions.
Desired Qualifications
  • Ability to develop or revise database architecture as new data requirements arise.
  • Experience with big data technologies such as Hadoop.
  • Experience with master data management platforms such as IBM InfoSphere MDM or Informatica MDM.
  • Experience with metadata management platforms such as Rochade or Informatica Metadata Manager.
  • Experience with data quality platforms such as IBM Data Quality or Informatica Data Quality.
  • Experience with data life cycle management platforms such as IBM Optim or Informatica ILM.
  • Experience with NoSQL databases such as Cassandra and MongoDB.

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