Solutions Architect

Job Description Key Responsibilities

• Lead the end-to-end architecture and solutioning of a greenfield enterprise data platform serving as a single source of truth
• Partner with business and technical stakeholders to translate ambiguous requirements into scalable, secure, cloud-based data solutions
• Design and guide implementation of modern analytics architectures, including data lakes and lakehouse patterns (bronze/silver/gold)
• Evaluate and help select the core data platform (e.g., Snowflake or Databricks) and supporting cloud services
• Architect data ingestion and integration from multiple heterogeneous source systems (e.g., 15+ databases with varying architectures)
• Ensure strong foundations in data governance, master data management (MDM), data quality, and security
• Build and/or guide POCs to demonstrate business value and ROI
• Act as a trusted advisor, communicating architectural decisions clearly to audiences ranging from engineers to VPs and CFOs
• Collaborate with engineering, analytics, and business teams in a consultative solution architecture role What Success Looks Like
• Establishes a scalable, governed data foundation that enables reliable analytics and future AI use cases
• Aligns business goals with technical architecture and earns trust across the organization
• Translates complex data challenges into clear, actionable solutions with measurable business impact 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Required Qualifications (Must Haves)

• Hands-on experience with Snowflake or Databricks (or a comparable modern cloud data platform)
• Proven background in cloud-based data architecture (AWS preferred; Azure experience a plus)
• Strong foundation in data engineering and analytics solutioning, not just infrastructure
• Experience designing enterprise-scale data platforms, including ingestion, transformation, and reporting layers
• Deep understanding of data governance, MDM, and how these influence platform architecture and design
• Ability to explain and implement bronze/silver/gold data patterns and articulate their business value
• Excellent communication and stakeholder management skills, with the ability to operate effectively from technical teams through executive leadership
• Experience working in highly regulated environments
• Exposure to AI/ML enablement through modern data platforms
• Background in enterprise architecture or data product architecture