IT Architect Senior, Principal

Develops the foundation of a robust enterprise architecture; defines and supports the implementation of modern data platforms, methodologies, programs, processes, standards, organization structure, metrics and data structures in support and growth of our business. Works in close collaboration with senior business and technology leadership and drives strategic data programs across the organization including definition and implementation of a data and analytics strategy and roadmap for the organization. Drives and enables our data capabilities.

• →Responsible for architectural effectiveness of data related initiatives within the organization.
• →Responsible for operationalizing and facilitating programs or COE for Data Platform Governance, multiple end-user platform Governance (Descriptive, Diagnostic, Predictive), Data Quality, Data Security, Data Platform usage standards and patterns.
• →Aligns enterprise data platform architecture with business and technology strategy and roadmaps and communicates to business and technical partners across multiple levels within the organization.
• →Defines and establishes a technical strategy, standards, roadmaps, and guidelines in the data platform architecture domain in collaboration with other architects.
• →Defines conceptual data platform architecture diagrams in support of large, complex and cross capability-area initiatives.
• →Defines and implements data platform architecture principles, standards, and patterns using established Enterprise Architecture governance processes and frameworks. Design data solutions addressing specific business capabilities and non-functional requirements.
• →Identifies and leads selection and implementation of data platforms in support of Modern Data Architecture and multiple end use cases. Create solutions to advance and optimize the enterprise data infrastructure.
• →Defines Modern Data Architecture leveraging public cloud platforms such as AWS/AZURE/GCP along with Big Data, Micro Services, Advanced Analytics lifecycle Management capabilities
• →Collaborates, educates, and mentors architects and technical leaders on modern data architecture practices; business and IT partners to define transitional and target state data architectures; the enterprise architecture and information management team members to ensure a holistic, enterprise scale value delivery for the organization
• →Other duties as assigned.

• →Bachelor's degree or equivalent education and work experience. Master's degree preferred.
• →Typically requires a minimum of 12 years of related experience with a bachelor’s or equivalent.
• →Strong technical skills
• →Process management
• →Problem solving
• →Develops enterprise architecture; defines and supports the implementation of modern data platforms, methodologies, programs, processes, standards, organization structure, metrics and data structures in support and growth of our business.
• →Works in close collaboration with senior business and technology leadership and drives strategic data programs across the organization including definition and implementation of a data and analytics strategy and roadmap for the organization. Drives and enables our data capabilities.
• →Varied experience implementing all aspects of Data Management, Data / Big Data, Data Quality, Data Modeling, Data Governance, Data Integration / ETL, Metadata Management and Data Security.
• →Background
  • →Enterprise experience working with modern data architecture efforts with subject matter expertise in varying technology and business disciplines.
  • →Strategizing, designing and implementing secure, governed, and cost-efficient data platforms in the cloud.
  • →Financial industry experience. Compatible domain experience will be considered.
  • →Data Architect with BSA/AML tools, preferably with Actimize.
  • →Leveraging data technologies such as Snowflake, Matillion, Talend, Power BI, and ThoughtSpot.
  • →Supporting regulated workloads (SOX, PCI, SOX, HIPAA, GDPR, OCC, etc.)
  • →Proven success in planning, influencing, and leading initiatives across engineering and business organizations.
  • →Strong SQL knowledge, performance optimization, critical thinking, problem-solving, and communication skills.

The responsibilities listed above are not all inclusive and may be changed at any time.

Salary range: $104,000– $174,000

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