Job Information
Insight Global Data Architect in Sacramento, California
Job Description
Insight Global is seeking a Data Architect/Staff Data Engineer to lead the design and delivery of scalable, production-ready data platforms. This role combines hands-on engineering with technical leadership, guiding teams in building high-quality, compliant data products that serve a broad set of stakeholders.
Key Responsibilities
• Architect and build scalable data services and APIs
• Lead design and code reviews across data engineering teams
• Mentor engineers on software and data engineering best practices
• Drive adoption of testing, CI/CD, and quality standards
• Partner with platform and application teams on integrations
• Ensure data systems meet security, reliability, and compliance standards
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.To 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
8+ years of experience in Data Engineering and/or Data architecture
Extensive experience designing large-scale data systems
Hands-on experience with Databricks
Strong background in data engineering for data platforms
Experience leading architectural decisions and technical design
Hands-on experience building data products and services
Experience mentoring engineers and leading code reviews Experience working with healthcare or regulated data
Familiarity with real-time data and streaming architectures
Experience with self-service data platforms and governance tooling