Job Description
Insight Global is seeking a hands-on Principal Data Architect to sit hybrid at a cybersecurity client in Newport Beach, San Jose, or Frisco Texas. You bring a strong background in big data engineering, modern lakehouse architectures, and decentralized data governance. This is a unique opportunity to define the strategic vision for their next-generation data platform, transition our ecosystem to a Data Mesh paradigm, and implement robust security standards across a petabyte-scale environment.
(This role can pay 220,000-245,000 based on years of experience).
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/.
Required Skills & Experience
-10+ years of professional software and data engineering experience, with a significant portion in a technical leadership or architectural role.
-Proven track record of transforming monolithic data warehouses into decentralized Data Mesh architectures, including experience with data contracts and federated governance.
-Deep, hands-on expertise with modern data platforms such as Databricks and Snowflake, including optimizing compute clusters and managing costs.
-Strong proficiency in distributed computing frameworks (Apache Spark) and open standards (Delta Lake, Iceberg, Hudi).
-Extensive experience implementing data privacy regulations (GDPR, CCPA) via technical controls like data masking, tokenization, and encryption at rest/in transit.
-Expert-level proficiency in Python, SQL, and Scala/Java. -You treat data pipelines as code, strictly adhering to CI/CD, unit testing, and version control best practices.
Deep understanding of event-driven architectures (Kafka, Kinesis) and workflow orchestration tools (Airflow, dbt, Dagster).
-Hands-on experience implementing data discovery and governance tools such as Unity Catalog, Alation, or Collibra.
-Strong understanding of the end-to-end machine learning lifecycle, including model registry, feature stores, and model serving
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.