e-Commerce Database Architect

Data Architect
Req ID:
46409
Job Category:
Information Technology
Location:
Mentor, OH, US, 44060
Workplace Type:
Hybrid
At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe.
Position Summary
The Data Architect demonstrates mastery of skills and knowledge and is a mentor, strategist, thought leader, evangelist, champion, Plans and leads data engineering activities.
Responsible for overseeing the design, development, deployment, and maintenance of scalable and robust data solutions. Develops and manages data integration pipelines connecting disparate data sources. Works closely with data architects, data scientists, analysts, and other stakeholders to support business needs in analytical and data solutions/projects. Collaborates with Infrastructure and DBA teams to ensure appropriate infrastructure is in place. Optimizes and streamlines data processing efforts to ensure data quality, security, privacy, on time delivery and compliance. Provides technical leadership, mentorship, reviews deliverables and provides feedback to the data engineering team.
Duties
Data Architecture and Technical Infrastructure (30%): Defines, plans, designs and support implementation of enterprise data architectures and enterprise data platform. Plans and leads data engineering activities for strategic, large, and complex programs. Leads the selection and development of data engineering methods, tools, and techniques.
SDLC Methodology & Project Management (15%): Plans technical transitions between development, testing, and production phases of solutions lifecycle, and the facilitation of the change control, problem management, and communication processes.
Innovation, Continuous Improvement & Optimization (15%): Develops organizational policies, standards, and guidelines for the development and secure operation of data services and products. Ensures adherence to technical strategies and architectures.
Data Modelling / Designing Datasets (10%): Coordinates the application of analysis, design, and modelling techniques to establish, modify or maintain data structures and their associated components. Manages the iteration, review and maintenance of data requirements and data models.
Partnership and Community Building (10%): Collaborates with other IT teams, business community, data scientists and other architects to meet business requirements.
Data Pipeline/ETL (5%): Sets standards for data modelling and design tools and techniques, advises on their application, and ensures compliance. Defines and implements administration and control activities related to data warehouse planning and development and the establishment of policies and procedures pertaining to its management, security, maintenance, and utilization.
Support & Operations (5%): Manages the investigation of enterprise data requirements based upon a detailed understanding of information requirements.
Data Governance and Data Quality (5%): Ensures that data is reliable, secure, and timely. Implement Data privacy and best practices. Defines, designs and implements data quality assessment and improvement methodology, processes and solutions.
End-User Support, Education and Enablement (3%): Plans, designs, develops and facilitates training and Data Literacy initiatives within the team and End user community.
Metadata Management & Documentation (2%): Ensure standards, and best practices in documentation of Metadata, Data Engineering processes and Architectures.
Required Experience
Bachelors Degree in Data Science, Analytics, or a related field
7 years experience in developme