Data Warehouse Architect
Sr. Role with 13/14+ Years of experience in IT industry
Long term Contract with possibility of extension
Location: Albany, NY (Hybrid) About the Role Our direct client is seeking a Data Warehouse Architect / ETL Developer to support its enterprise data analytics initiative. This initiative strengthens audit planning, increases recoveries from fraud, waste, and abuse, and improves operational efficiency through advanced analytics and business intelligence. You will work closely with the Data Analytics & First New York teams within the Division of the Chief Information Officer to expand and enhance the analytics infrastructure and tools environment.
You will play a key role in architecting and enhancing a formally designed analytics data warehouse environment that supports examiners, auditors, and analytics staff.
Responsibilities Reviewing and analyzing existing ETL processes and external data sources
Designing and architecting solutions to support structured and unstructured datasets
Implementing and migrating ETL environments, including fact and dimensional models based on business requirements
Supporting Tableau and Oracle Business Intelligence Enterprise Edition (OBIEE) dashboard design
Developing ETL processes to onboard newly acquired data into a secure analytics environment
Supporting data exchanges with external agencies/entities
Providing additional data analytics development services as needed
Candidates must have: Bachelor's degree (or equivalent four-year degree) in Computer Science or a related IT field, OR a Master's/Doctorate in Computer Science or related field
Minimum 4 years of experience developing and maintaining data interchange systems integrating diverse data sources (flat files, direct database connections, XML transactions)
Minimum 4 years of experience with ETL tools (e.g., Qlik, Informatica)
Minimum 4 years of data modeling experience
Minimum 4 years of experience developing data analytics ETL environments
Minimum 4 years of experience coding in SQL
Preferred Qualifications Experience gathering business requirements, performing data validation, or troubleshooting with stakeholders
Academic or professional experience applying statistics
Experience supporting data analytics programs within a government entity
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