Insight Global is looking for an experienced and innovative Data Architect to design, build, and optimize scalable, secure, and high-performance data solutions that support enterprise analytics and AI initiatives. The ideal candidate will have expertise in data warehousing, cloud platforms, and ETL/ELT pipelines, with a strong foundation in dimensional modeling using the Kimball methodology. Familiarity with AI data readiness and enabling machine learning (ML) pipelines is a strong plus.
What Youll Do:
Design & Develop: Create and maintain scalable enterprise data architectures that support business intelligence, analytics, and AI use cases.
Implementation: Lead the implementation of data warehouse solutions using Kimball dimensional modeling (star/snowflake schemas).
Architecture: Architect modern data platforms leveraging Snowflake, ensuring performance, scalability, and cost-efficiency.
Strategy & Vision: Develop strategies, assessments, vision, roadmaps, and business case deliverables.
Consulting: Conduct assessments, analyses, and interviews to identify client issues and develop comprehensive data strategies using standard consulting practices (facilitation, interviewing, gap analysis, etc.).
Design: Lead the design of modern data platform architectures based on requirements.
Data Models & Pipelines: Design data models and pipelines to support AI agents.
Automation: Build robust, automated ETL/ELT pipelines.
Collaboration: Work with cross-functional teams to gather business requirements and design solutions that meet both operational and analytical needs.
Governance & Security: Implement data governance, data quality controls, and security standards across the data architecture.
AI/ML Support: Enable data pipelines and infrastructure to support AI/ML initiatives, including feature store integration and model training workflows.
Innovation: Recommend best practices and emerging technologies to improve data architecture and AI data readiness.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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
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7+ years of experience in data architecture, data engineering, or related fields.
Expertise: Deep knowledge of Kimball dimensional modeling and modern data warehousing concepts.
Hands-On Skills: Proven experience in designing and optimizing Snowflake data environments.
ETL/ELT: Proficiency in designing ETL/ELT pipelines.
Technical Skills: Strong SQL skills and experience with scripting languages like Python or PowerShell.
AI/ML Projects: Experience in working on AI/ML projects, including data preparation for model training and serving.
AI Data Readiness: Understanding of principles such as feature engineering, data labeling, and versioning.
Machine Learning: Familiarity with machine learning platforms.
Knowledge of cloud infrastructure, security, and DevOps practices related to data platforms.
Excellent interpersonal and communication skills, with the ability to translate technical concepts for business stakeholders.
Bachelor's degree in a related field.
Saas based technology experience.
Understanding of real-time and streaming data architectures
Experience with data governance tools and frameworks.
Experience enabling the enterprise use of AI across operational workflows.
Certifications in Snowflake, Azure, AWS, or data architecture/design.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.