Enterprise Data Architect

Commerce Bank•St. Louis, MO

1d•$105,000 - $123,500•Hybrid

About The Position

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.

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 MDM, 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. 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 priorities
Inquisitive, agile, and strong 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 that is aligned with our culture and Core Values
Strong proficiency with Microsoft Office suite, Microsoft Project and Teams
Bachelor’s degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required.
6+ years of experience in IT or a related field, with at least 5 years in information system design required
4+ years of experience in data management, data modeling, data warehousing and emerging data integration technologies required
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 required

Nice To Haves

Master’s degree preferred.
Experience in data analysis using PySpark, SQL, Python is preferred.
Professional training/industry certifications in PaaS cloud providers or specifically in Databricks preferred

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 (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 value
Aid 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
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