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Commerce Bank

Provides personal and business banking services

Enterprise Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Strong understanding of system integration, including interface design, and familiarity with web-oriented architecture techniques.
  • Strong understanding of data modeling and information classification expertise at the enterprise level and industry-specific knowledge of data security protocols, policies, and regulations.
  • Strong understanding of common information architecture frameworks and information models.
  • Strong understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
  • Strong understanding of data science concepts, as well as master data management, business intelligence, and data warehouse design and implementation techniques.
  • Strong understanding of a variety of data access and analytics approaches, for example, microservices and event-based architectures.
  • Strong understanding with enterprise architecture modeling languages or frameworks such as TOGAF, ArchiMate, Zachman or UML.
  • Ability to develop positive relationships across business and technical domains to facilitate activity that produces mutually beneficial outcomes.
  • Ability to assess rapidly changing technological trends and developments and apply them to business needs.
  • Ability to understand problems from a broad perspective leveraging business and technical knowledge to anticipate the impact of issues and potential solutions.
  • Strong business and technological acumen, with the ability to communicate with executives, business domain stakeholders and technical partners.
  • Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities.
  • Inquisitive, agile team player with excellent written, verbal, and interpersonal communication skills.
  • Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow aligned with the organization’s culture and Core Values.
  • Strong proficiency with Microsoft Office suite, Microsoft Project and Teams.
  • A bachelor's degree in Information Technology, Computer Information Systems, Data Management, Data Science, or an equivalent combination of education and experience is required.
  • At least 6 years of experience in IT or a related field, including at least 5 years in information system design.
  • At least 4 years of experience in data management, data modeling, data warehousing and emerging data integration technologies.
  • At least 2 years of experience with distributed management and analytics in cloud and hybrid environments, with hands-on experience building and designing Databricks Lakehouse Architecture and Delta Lake using tools such as Erwin or SqlDBM.
  • Must be eligible to work in the United States without sponsorship now or in the future.

Responsibilities

  • Partner with business and technical leadership to provide strategic recommendations that maximize the value of data assets via their creation, access and use.
  • Analyze and optimize data models for performance, scalability and cost effectiveness in the cloud; collaborate with IT Architecture, Information Security, and Data Governance stakeholders to define standards and policies for data lifecycle management, data keying strategy, and data obfuscation strategy.
  • Monitor and assess the benefits and risks of change impacting the data ecosystem, including new system implementations and deployment of new tools and utilities, and actively work to mitigate negative impacts on the use of data architecture.
  • Provide the organization with a future-state view of the business data landscape that minimizes restrictions imposed by proprietary solutions or technologies; collaborate in architectural planning and influence data architectural design decisions.
  • Assist data, analytic, business and IT leaders in developing data governance processes and structures.
  • Facilitate design sessions with business and technology stakeholders to understand business needs and requirements; develop and manage data blueprints and information models, including conceptual, logical and physical models, relational database designs, dimensional modeling, data vault, and message models.
  • Proactively manage the classification and zoning of data assets sourced from systems, applications, and external third-party information providers to increase time to value.
  • Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management, metadata management, analytics, content management, data integration, and related information management or information infrastructure components.
  • Analyze data and analytics security requirements and solutions, and partner with leadership to ensure that enterprise business data and analytics assets are protected.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience in data analysis using PySpark, SQL, and Python.
  • Professional training or industry certifications in PaaS cloud providers or specifically in Databricks.
  • A master's degree.

About the Company

Commerce Bank

Provides personal and business banking services

Commerce Bank provides a broad range of banking and financial services to individuals and businesses in the United States, including checking accounts, mortgages, loans, investment services, and credit cards. Its products work by offering deposits and lending products through branches and digital channels, earning revenue from interest on loans, account fees, and investment income. The bank distinguishes itself through a clear emphasis on diversity, equity, and inclusion, and by supporting community initiatives such as LGBTQIA nonprofits, alongside being recognized for regional banking performance. Its goal is to serve a diverse client base with accessible financial services while driving growth and positive community impact through responsible lending, deposit growth, and investments.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Kansas City, MO
Founded
1865

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