OT Data Architect

Job Description The Data Architect will lead endu2011tou2011end architecture for securely moving operational technology data from onu2011premises environments into our Databricks cloud, enabling governed analytics and AI readiness across the enterprise. This role partners with business and technical leaders to evaluate solution options, design robust data movement and modeling patterns, and ensure networking and cloud security controls are implemented by design. The architect will be a key member of the Data Portfolio, collaborating across Customer, Operations, Infrastructure, and Security architecture teams to deliver resilient, compliant, and costu2011effective solutions. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements - 8+ years of experience within Data Architecture - Experience with Historian Systems: OSI PI, AVEVA PI, AVEVA Connect - AWS Cloud Environment Experience; VPCs, subnets, routing, IAM, KMS, private connectivity, encryption - Databricks Platform experience; Spark, Delta Lake, Unity Catalog, Lakehouse layers - Experience moving industrial operational technology environments from on prem environments into an AWS hosted environment - Demonstrated collaboration skills with senior leaders across business and technology; ability to influence, negotiate tradeu2011offs, and drive decisions with clarity. - Familiarity with AI platform needs and ML lifecycle requirements, including feature engineering, data contracts, lineage, and model observability. - Experience integrating AVEVA PI AF context with cloud lakehouse models - Familiarity with AVEVA Data Views linked to Databricks for nearu2011realu2011time analytics. - Prior work aligning pipeline designs to Databricks consumption patterns and governance controls; contributions to portfolio standards or reference architectures. - Background in regulated utility or industrial environments with strong safety, reliability, and compliance requirements.

Created: 2026-05-02