Enterprise Data Architect

KeyBank • Brooklyn, OH

1d • $112,000 - $210,000 • Hybrid

About The Position

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.

Requirements

• Deep domain knowledge of Data Management concepts including 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.
• Bachelor's degree in Computer Science, Information Systems, or related field.
• Familiarity with agile software development methodologies and DevOps practices.
• 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.

Nice To Haves

• Advanced degree preferred.
• Certification in data management or related field (e.g., Certified Data Management Professional) preferred.

Responsibilities

• Designing, creating, and managing the organization's data architecture.
• Collaborating with various stakeholders to understand business requirements and translate them into efficient and scalable data solutions.
• Implementing data governance best practices and ensuring data quality and integrity across all systems.
• Defining strategy and approach for Architecture (preferably Data Architecture) function including scope, vision, roles and responsibilities, operational processes, and governance structure.
• 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.
• Defining and implementing strategies and processes for effective Reference Data Management.
• Defining and implementing strategies and processes for Data Retention in operational and analytic data sets.
• Aligning technical data strategy with overall business goals and objectives.
• Evaluating and selecting appropriate data management technologies and tools to support data architecture goals, such as data warehouses, data lakes, and ETL processes.
• Providing guidance and support to development teams during the implementation of data-related projects, including database design, data migration, and performance optimization.
• Staying current with emerging trends and technologies in data management and recommending innovative solutions to enhance the organization's data architecture capabilities.
• Monitoring and analyzing data architecture performance metrics to identify areas for improvement and optimization.

Benefits

• Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
• Access to a list of benefits for which this position is eligible.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior