KeyCorp
EnterpriseDataArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Enterprise Data Architect at KeyCorp. Skills: Data Architecture, Data Management, Cloud Computing, Data Governance. Designing data architecture. Creating data architecture”
What You'll Achieve.
Ensure data initiatives contribute to organizational success
Industry & Context.
Analyze complex data requirements; Design scalable solutions
What They're Looking For.
Must Have
Experience with defining strategy and approach for Architecture function, Deep domain knowledge of Data Management concepts, Hands-on practical experience designing and delivering enterprise-grade data solutions, Experience with Cloud Computing, communication and collaboration skills, Demonstrated ability to collaborate with business stakeholders, History of providing guidance and support to development teams, Experience defining and implementing strategies and processes for effective Reference Data Management, Experience defining and implementing strategies and processes for Data Retention, Proven track record of aligning technical data strategy with business goals, Technical acumen to evaluate and select appropriate data management technologies and tools, Familiarity with agile software development methodologies, Familiarity with DevOps practices, project management skills, Excellent analytical and problem-solving skills, Knowledge of data governance frameworks, Knowledge of data security best practices, Knowledge of regulatory compliance standards, understanding of enterprise architecture principles
Nice to Have
Bachelor's degree in Computer Science, Information Systems, or related advanced degree, Certification in data management or related field, Certified Data Management Professional
What You'll Do.
Designing data architecture
Creating data architecture
Managing data architecture
Understanding business requirements
Translating requirements into data solutions
Implementing data governance best practices
Ensuring data quality
Ensuring data integrity
Defining strategy for Architecture function
Providing guidance to development teams
Evaluating data management technologies
Selecting data management tools
Staying current with data management trends
Recommending innovative solutions
Monitoring data architecture performance
Analyzing performance metrics
How You'll Work.
Team & Collaboration
Collaborating with stakeholders; Collaborating with business stakeholders; Collaborating with data analysts; Collaborating with software developers
Communication Scope
Interact effectively with technical and non-technical stakeholders
Process & Methodology
Prioritize tasks
Full Job Description
**Location:** 4900 Tiedeman Road, Brooklyn Ohio _Summary:_ The Data Architect will be responsible for designing, creating, and managing our organization's data architecture. This role will involve collaborating with various stakeholders to understand business requirements and translate them into efficient and scalable data solutions. The Data Architect will also play a key role in implementing data governance best practices and ensuring data quality and integrity across all systems. _Responsibilities and Qualifications:_ * Experience with defining strategy and approach for Architecture (preferably Data Architecture) function including but not limited to: scope\vision, roles and responsibilities, operational processes, and governance structure. * Deep domain knowledge of Data Management concepts including but not limited to: Data Acquisition, Storage, Processing\Transformation, Modeling, Retention, and Protection. * Hands-on practical experience designing and delivering enterprise-grade data solutions including both operational and analytic use cases spanning data pipelines with enterprise ETL (batch and real-time) and logical\physical data modeling. * Experience with Cloud Computing notably for Operational Data Processing and Analytic Use Cases * Strong communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders at all levels of the organization. * Demonstrated ability to collaborate with business stakeholders, data analysts, and software developers to understand data requirements and translate them into technical specifications. * History of providing guidance and support to development teams during the implementation of data-related projects, including database design, data migration, and performance optimization. * Experience defining and implementing strategies and processes for effective Reference Data Management. * Experience defining and implementing strategies and processes for Data Retention
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