Senior Data Architect at
4 weeks ago
Responsibilities:
Design data model components to support data transformation and results of analytic algorithms;
Integrate disparate data models across the company into one enterprise-wide Unified Data Platform design;
Develop database design and architecture documentation;
Drive culture of standardization in data transformation and analytic logic;
Surface inconsistencies in data definitions so that they can be reconciled;
Develop a corporate data library / metadata repository including best practice for development of data transformation specifications;
Some travel required (approx. 20%);
Interaction with software engineering and DBA teams in order to understand their database requirements for new products or features;
Participates in prototyping and proof of concept system development and benchmarking;
Shape enterprise data architecture design patterns, design principles and best practices enhancing business solution delivery;
Plans and implements backup and recovery strategies;
Plan and provide operational oversight in database maintenance with minimal impact to customers;
Participates in code reviews, ensuring best practices are followed;
Identify and resolve production application issues;
Perform database administration tasks, including automation, performance monitoring, system tuning, and SQL query optimization.
Requirements:
Experience with AWS services such as S3, EMR, EC2, and Amazon RedShift strongly preferred;
Understanding of SDLC and Agile methodologies, experience with Scaled Agile Framework is a plus;
Ability to work with business, operations, and engineering stake holders;
5+ years of work experience as a Data Modeler/Data Architect; deep proficiency in data modeling and data management principles;
Excellent communications and documentation skills; ability to work on a collaborative team;
Ability to assess rapidly changing technologies and apply them to business needs;
Data modeling and information classification expertise at the enterprise level;
Bachelor's degree in computer science, computer information system or other data related field;
Bachelor's degree in computer science, information systems;
Minimum of 5 experience with innovation and ideation methods, such as design thinking;
Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike;
An understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures);
Experience with a financial industry focused data model preferred;
3+ years of work experience in banking / financial institution preferred);
Strong customer and business focus.
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