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Job Description

Insight Global is seeking a strategic and hands-on Data Architect to lead initiatives across the full data lifecycle—from extraction and transformation, to modeling and analytics enablement. You’ll be the bridge between enterprise data systems and business insights, developing scalable data architecture for internal reporting and future-facing analytics. This person will be extracting and integrating data from diverse enterprise systems into data warehouses. They will be designing and implementing data pipelines to ensure data integrity. They will be building and maintaining Oracles tables and support the creating of Snowflake environments. They will be working with data modelers to create robust data models using Tableau, PowerBI and SAP Business objects for enterprise-wide reporting. This person will be creating and maintaining star schemas and will support initiatives to implement data lakes into the environment and look into AI-driven predictive analytics.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

5+ years of experience designing and implementing data architecture across the full data lifecycle

Expertise in ETL processes, enterprise data systems, and data warehousing.

Proficiency with Oracle databases and Snowflake environments.

Strong modeling skills in Tableau, Power BI, and Business Objects.

Understanding of star schema design and dimensional modeling techniques.

Strong communication skills and experience working cross-functionally with technical and business teams. Experience with AI/ML platforms or integration of predictive models.

Background in data security in a highly regulated environment

Familiarity with data lake architectures and predictive analytics tools.