{"id":1650209,"url":"https://alion.io/job/commerce-bank-enterprise-data-architect","title":"Enterprise Data Architect","company":{"id":1804473,"name":"Commerce Bank","domain":"commercebank.com","url":"https://alion.io/company/commerce-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Saint Louis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":105000,"max":123500,"currency":"USD","period":"year","gross":null,"usd_annual":123500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Microsoft Project","optional":false},{"name":"Outlook","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"UML","optional":false}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-14T14:37:12Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"About Working at Commerce\nBuilding a career here is more than just steps on a ladder. It’s about helping people find financial safety and success, helping businesses thrive, and making sure people and their money are taken care of. And our commitment doesn’t stop there. Our culture is about our people, the ones in our communities and the ones that work with us.\nHere, you’ll find opportunities to grow and learn, to connect with others, and build relationships with the people around you. You’ll have the space and resources to grow into the best version of yourself. Because our number one investment is you.\nCreating an award-winning culture doesn't come easy. And after 160 years, we know Commerce Bank is only at its best when our people are. If this sounds interesting to you, keep reading and let’s talk.\nCompensation Range\nAnnual Salary: $105,000.00 - $123,500.00 (Amount based on relevant experience, skills, and competencies.)About This Job\nThe main purpose of this job is to collaborate with the Enterprise Architecture program and business data stakeholders to ensure that the technical architecture and information ecosystem would enable the organization to achieve business outcomes and generate meaningful value from its data assets. The Data Architect is responsible for discovering & documenting the data and analytics requirements for information for all uses and requires a deep understanding of data management, data modeling, data warehousing and emerging data integration technologies.\nWork Schedule\nMonday - Friday 8:00 AM - 5:00 PM\n\nEssential Functions\nPartner with business and technical leadership to provide strategic recommendations that maximize the value of data assets via their creation, access and use\n\nAnalyze 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\n\nMonitor and assess the benefits and risks of change impacting the data ecosystem (i.e. new system implementations, deployment of new tools and utilities, etc.) Actively work to mitigate the negative impact of change affecting the use of data architecture.\n\nProvide the organization with a future-state view of the business data landscape that minimizes restrictions imposed by proprietary solutions or technologies. Collaborate in the process of architectural planning and influence decisions on data architectural design.\n\nAssist data, analytic, business and IT leaders in developing data governance processes and structures.\n\nFacilitate design sessions with business and technology stakeholders to understand business needs and requirements. Develop and manage data blueprints and information models (i.e. conceptual models, logical models, physical models, relational database designs, dimensional modeling, data vault, message models and others)\n\nProactively manage the classification and zoning of data assets sourced from systems, applications, and external third-party information providers to increase time to value\n\nAid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components\n\nAnalyze data and analytics security requirements and solutions, and partner with leadership to ensure that enterprise business data and analytics assets are protected.\n\nPerform other duties as assigned\n\nKnowledge, Skills & Abilities Required\nStrong understanding of system integration, including interface design, and familiarity with web-oriented architecture techniques.\n\nStrong understanding of data modeling and information classification expertise at the enterprise level and industry-specific knowledge of data security protocols, policies, and regulations\n\nStrong understanding of common information architecture frameworks and information models\n\nStrong understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources\n\nStrong understanding of data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques\n\nStrong understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures)\n\nStrong understanding with enterprise architecture modeling languages or frameworks such as TOGAF, ArchiMate, Zachman or UML\n\nAbility to develop positive relationships across business and technical domains to facilitate activity that produces mutually beneficial outcomes\n\nAbility to assess rapidly changing technological trends and developments and apply them to business needs\n\nAbility to understand problems from a broad perspective leveraging business and technical knowledge to anticipate the impact of issues and potential solutions\n\nStrong business and technological acumen. Possesses the ability to communicate with executives, business domain stakeholders and technical partners alike.\n\nMotivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities\n\nInquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skills\n\nAbility to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values\n\nStrong proficiency with Microsoft Office suite, Microsoft Project and Teams\n\nEducation & Experience\nBachelor’s degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required. Master’s degree preferred.\n\n6+ years of experience in IT or a related field, with at least 5 years in information system design required\n\n4+ years of experience in data management, data modeling, data warehousing and emerging data integration technologies required\n\n2+ 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 required\n\nExperience in data analysis usingPySpark, SQL, Python is preferred.\n\nProfessional training/industry certifications in PaaS cloud providers or specifically in Databricks preferred\n\n*Remote options available\n**Ideal candidate would live in Kansas City or St. Louis.\n***For individuals applying, assigned and/or hired to work in areas with pay transparency requirements, Commerce is required by law to include a reasonable estimate of the compensation range for some roles. This compensation range is for the Enterprise Data Architect job and contemplates a wide range of factors that are considered in making compensation decisions, including but not limited to location, skill sets, education, relevant experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable differentials (geographic, bilingual, or shift) that could be associated with the position or where it is filled. At Commerce, compensation decisions are dependent on the facts and circumstances of each situation. A reasonable estimate of the current base pay is $105,000 to $123,500 annually. This position will be eligible for additional compensation through performance-based incentive plan(s) that will correspond to meeting performance goals.\nMust be eligible to work in the US without sponsorship now or in the future.\nThe candidate selected for this position may be eligible for the following employment benefits: employer sponsored health, dental, and vision insurance, 401(k), life insurance, paid vacation, and paid personal time. In addition, we offer career development, education assistance, and voluntary supplemental benefits. 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