Enterprise Data ArchitectBuilding 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.Here, 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.Creating 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.The 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.Work Schedule: Monday - Friday 8:00 AM - 5:00 PMEssential FunctionsPartner with business and technical leadership to provide strategic recommendations that maximize the value of data assets via their creation, access and useAnalyze 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 strategyMonitor 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.Provide 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.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 (i.e. conceptual models, logical models, physical models, relational database designs, dimensional modeling, data vault, message models and others)Proactively manage the classification and zoning of data assets sourced from systems, applications, and external third-party information providers to increase time to valueAid 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 componentsAnalyze 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 assignedKnowledge, Skills & Abilities RequiredStrong 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 regulationsStrong understanding of common information architecture frameworks and information modelsStrong understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sourcesStrong understanding of data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniquesStrong 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 UMLAbility to develop positive relationships across business and technical domains to facilitate activity that produces mutually beneficial outcomesAbility to assess rapidly changing technological trends and developments and apply them to business needsAbility to understand problems from a broad perspective leveraging business and technical knowledge to anticipate the impact of issues and potential solutionsStrong business and technological acumen. Possesses the ability to communicate with executives, business domain stakeholders and technical partners alike.Motivated and organized self-starter with strong attention to detail and the ability to manage multiple prioritiesInquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skillsAbility 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 ValuesStrong proficiency with Microsoft Office suite, Microsoft Project and TeamsEducation & ExperienceBachelor's degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required. Master's degree preferred.6+ years of experience in IT or a related field, with at least 5 years in information system design required4+ years of experience in data management, data modeling, data warehousing and emerging data integration technologies required2+ 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 requiredExperience in data analysis using PySpark, SQL, Python is preferred.Professional training/industry certifications in PaaS cloud providers or specifically in Databricks preferredRemote options available