Job Description

Job Title: EDW Architect

Salary Range: $120,000 – $150,000

About the Role

We are looking for a highly experienced and technically skilled Enterprise Data Warehouse (EDW) Architect to lead the design, development, and optimization of data infrastructure across our enterprise. This is a critical, hands-on role that will drive our data architecture strategy, enabling advanced analytics, reporting, and business intelligence across departments.

The ideal candidate brings a deep background in data modeling, enterprise architecture, and cloud-based data platforms—especially AWS , Oracle , and Redshift —along with a passion for building scalable, high-performance systems.

Key Responsibilities

• Architect and maintain the enterprise data warehouse to support analytics, reporting, and operational needs.
• Design robust, scalable data infrastructure components and ETL/ELT processes.
• Develop and implement enterprise information architecture strategies to ensure data consistency, availability, and performance.
• Lead end-to-end data lifecycle management including ingestion, transformation, storage, and access.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver actionable solutions.
• Ensure compliance with data governance and security protocols.
• Provide technical leadership and mentorship to data engineering teams.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field
• (20+ years of relevant experience accepted in lieu of degree)
• 16+ years of experience in programming, data modeling, and enterprise data warehouse development
• 5+ years of experience in Enterprise Information Architecture
• 5+ years designing data infrastructure components
• 3+ years of recent hands-on expertise with:
• AWS (including Redshift)
• Oracle
• Programming with database services for enterprise data management and analytics
• Strong proficiency in data modeling (conceptual, logical, and physical)
• Deep understanding of relational and non-relational database systems

Nice to Have

• Experience with Electronic Health Record (EHR) systems and related data architecture
• Hands-on experience with tools and technologies such as:
• OLAP
• Hadoop / Cloudera
• Talend
• RDBMS & NoSQL
• Big Data platforms

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