Designing enterprise information architecture under limited direction to store, move, transform, deliver, integrate, and manage data.
Contributing to the growth of the Data Architecture practice by identifying common patterns and developing frameworks for all data management disciplines.
Executing the data strategy and vision in alignment with business goals by utilizing the modeling standards, guidelines, best practices, and approved modeling techniques.
Modeling the future state of the data architecture and provides best practices and guidelines.
Reviewing proposed data models in packaged or commercial applications for business applicability.
Contributing significantly to data integration, business intelligence (BI), and enterprise information management programs.
Establishing metrics to track and measure the value of data architecture initiatives (e.g., model reuse, project cost impact, data consistency improvements).
Identifying significant data assets based on business impact, decision impact, risk mitigation, or organizational relevance.
Ensuring critical information assets are represented in the enterprise information architecture (EIA) and comply with its design guidelines.

Requirements

Bachelor’s Degree in a related discipline, or equivalent experience.
Typically, a minimum of five years of related work experience in data architecture
Typically has at least three to five years of experience with the following:
Data integration and ETL tools and techniques; experience with ETL tool required, Informatica and Snowflake experience preferred.
Data analysis and data profiling.
Data modeling and several architecture tools and techniques; ER/Studio experience preferred.
Reporting and visualization tools; with BusinessObjects and Tableau experience preferred.
Conceptual, logical and physical data modeling, especially for rationalizing data objects.
CDMP (Certified Data Management Professional), CDP (Certified Data Professional), or CBIP (Certified Business Intelligence Professional) certifications preferred.
Candidate location in Central or Eastern US time zone is preferred; willingness to work EST business hours.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata integrationETLdata analysisdata profilingdata modelingreportingvisualizationconceptual data modelinglogical data modeling

Certifications

CDMPCDPCBIP