Job Title: Senior - Data Architect

Department: Information Technology - Business Intelligence Applications

Location: Riedman Campus 

 

SUMMARY:

  The Sr. Data Architect is responsible for designing, creating, and managing an organization’s data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs warehouses, file systems and databases, and defines how data will be collected and organized.

RESPONSIBILITIES:

Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps

Designs the structure and layout of data systems, including databases, warehouses, and lakes

Selects and implements database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures

Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms

Designs and implements ETL processes from various sources into the organization’s data systems

Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards

Manages senior business stakeholders to secure strong engagement and ensures project deliverables align with longer-term strategic roadmaps

Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company

Leads and participates in the peer review and quality assurance activities of project-based architectural artifacts across the EA group through governance forums

Defines and manages standards, guidelines, and processes to ensure data quality

Collaborates across IT teams and Community analysts throughout the organization to drive clarity and consensus around data consumers’ needs and develops solutions accordingly

Evaluates and recommends emerging technologies for data management, storage, and analytics

REQUIRED QUALIFICATIONS:

Bachelor’s degree or equivalent combination of education and applicable job experience

At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives

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PREFERRED QUALIFICATIONS:

Master’s degree

Demonstrated expertise with programming languages such as .NET, Python, or Java

Demonstrated expertise with data science languages/tools such as SQL, R, SAS, or Excel

A high degree of understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques (Erwin, IDERA, Collibra)

EDUCATION:

LICENSES / CERTIFICATIONS: 

PHYSICAL REQUIREMENTS:

L - Light Work - Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly; requires occasional walking, standing or squatting.

For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.

Any physical requirements reported by a prospective employee and/or employee’s physician or delegate will be considered for accommodations.

PAY RANGE:

$110,000.00 - $138,000.00

CITY:

Rochester

POSTAL CODE:

14617

The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.

Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.