Sr Infrastructure Engineer (Privacy Engineering)

Insight Global's client, a leading company in the gaming industry, is integrating their data assets into DataHub. They need to know what's in them: which fields are sensitive, which datasets contain Restricted or Confidential player data, and where policy needs to be enforced. We're looking for a senior engineer with a privacy/data classification background to help design and build these capabilities, spanning both our data warehouse and operational data assets.
What you'll work on
● Help design and mature data classification approach, including building an in-house classification system and evaluating and integrating classification signal providers. Currently we use Wiz and are evaluating Cyera.
● Build the internal tooling needed to take classification signals (from Wiz, Cyera, or others) and turn them into reliable, actionable classification metadata in DataHub, including human-in-the-loop review workflows where automated confidence is low.
● Contribute to DataHub's built-in LLM/pattern-based classifier rollout for data warehouse assets (starting with Databricks, then Snowflake), leveraging the consistent schema/naming produced by our Data Router pipeline.
● Over time, help design and prototype an internal classifier (sample data → classifier → output) as a complement or alternative to third-party signal providers, informed by how existing tools perform in production.
● Work closely with data governance, legal, and security stakeholders to ensure classification approaches reflect Epic's data classification taxonomy and regulatory obligations.
● Contribute to the access-governance workstream where it overlaps with classification (e.g., using classification output to inform access right-sizing for Restricted/Confidential data).

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/.

● 5+ years of relevant software engineering experience, including meaningful work on data classification or privacy engineering infrastructure.
● Demonstrated experience with AI-assisted software development, including coding assistants, agentic AI systems and developer tools, with the ability to evaluate and integrate new AI capabilities into engineering workflows.
● Experience integrating with or building on top of data classification / security posture tools (Wiz, Cyera, BigID or similar) and building custom classification pipelines.
● Solid data engineering fundamentals: comfortable working across large-scale warehouse (Snowflake/Databricks) and operational (MongoDB/DynamoDB/RDS) data.
● Familiarity with privacy-by-design principles and working alongside legal/privacy stakeholders.
● Strong communication skills: this role works cross-functionally with privacy legal, security, data analytics and data governance teams.

● Direct experience with DataHub (Acryl Data or open source) or comparable metadata/catalog platforms.
● Experience building and fine-tuning both rule-based and ML/LLM-based classifiers for structured and semi-structured data.
● Prior experience in a data governance, privacy engineering or compliance-adjacent engineering role.
● Background in gaming, consumer platform or other environments with large-scale player/user data.

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.