KeyBank · 1 day ago
Enterprise Data Architect
Brooklyn, OH
Full-time
Hybrid
Senior Level
$112K/yr - $210K/yrKeyBank is seeking an Enterprise Data Architect who will be responsible for designing, creating, and managing the organization's data architecture. This role involves collaborating with stakeholders to translate business requirements into efficient data solutions while implementing data governance best practices.
Banking
Responsibilities
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 in operational and analytic data sets
Proven track record of aligning technical data strategy with overall business goals and objectives to ensure that data initiatives contribute to organizational success
Technical acumen to evaluate and select appropriate data management technologies and tools to support data architecture goals, such as data warehouses, data lakes, and ETL processes
Qualification
Required
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 in operational and analytic data sets
Proven track record of aligning technical data strategy with overall business goals and objectives to ensure that data initiatives contribute to organizational success
Technical acumen to evaluate and select appropriate data management technologies and tools to support data architecture goals, such as data warehouses, data lakes, and ETL processes
Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred
Strong project management skills and the ability to prioritize tasks in a fast-paced environment
Excellent analytical and problem-solving skills, with the ability to understand complex data requirements and design scalable solutions
Knowledge of data governance frameworks, data security best practices, and regulatory compliance standards (e.g., GDPR, HIPAA)
Strong understanding of enterprise architecture principles and practices
Independent thinker and self-starter
Preferred
Certification in data management or related field (e.g., Certified Data Management Professional) preferred
Familiarity with agile software development methodologies and DevOps practices
Stay current with emerging trends and technologies in data management and recommend innovative solutions to enhance the organization's data architecture capabilities
Monitor and analyze data architecture performance metrics to identify areas for improvement and optimization
Company
KeyBank
At KeyBank we’ve made a promise to our clients that they will always have a champion in us.
Founded in 1849
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Chris Gorman
Chairman, Chief Executive Officer, and President, KeyCorp
Holly Santoro
Executive Administrator to the Chairman & CEO
Recent News
2023-08-28
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