The Senior Data Architect develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Senior Data Architect may evaluate new data sources for adherence to the organization’s quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Senior Data Architect typically requires a bachelor’s degree. Typically reports to a supervisor or manager. Being a Senior Data Architect contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. Working as a Senior Data Architect typically requires 4 to 7 years of related experience.
Senior Data Architect Job Description Template
Our company is looking for a Senior Data Architect to join our team.
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 Clinical industry focused data model preferred;
- 3+ years of work experience in healthcare (payer, care provider, data analytics, PBM);
- Strong customer and business focus.