Data Architect

Job Description Weu2019re looking for a hands-on Senior Data Architect to design and own the data infrastructure that powers analytics and AI-driven client solutions at OneMagnify. This role sits at the center of the data practice and works closely with engineering, analytics, and strategy teams to ensure data flows reliably across enterprise systems. The ideal candidate is someone who enjoys translating complex business requirements into scalable, durable data architectures and understands how downstream analytics and AI solutions depend on strong foundations upstream. This is a great fit for a senior-level Data Architect who wants direct ownership over architecture decisions and enjoys mentoring others while solving real enterprise data challenges. Compensation: $70hr to $75/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st 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. 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 u2022 Bacheloru2019s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience u2003u2022 5+ years of hands-on experience in data architecture development or implementation u2003u2022 Strong SQL skills for data analysis, validation, and troubleshooting u2003u2022 Hands-on experience with Databricks (Delta Lake, Unity Catalog, Spark) u2003u2022 Experience with AWS data services such as Glue, Redshift, S3, Lambda, or Step Functions Familiarity with APIs and enterprise system integrations u2022 Deep experience with AWS cloud data infrastructure in a production environment u2003u2022 Familiarity with Databricks MLflow or Feature Store u2003u2022 Experience working within marketing data ecosystems such as CRM platforms, CDPs, or Martech/Adtech systems u2003u2022 Background in a digital agency, marketing services, or consulting environment Working knowledge of data governance or observability frameworks, including data lineage, cataloging, or pipeline monitoring tools

Created: 2026-04-27