Zoominfo Principal Applied AI Engineer at ZoomInfo responsible for defining and evolving architecture and engineering standards for enterprise data platforms. Leads complex system design and mentors teams on best practices.
Responsibilities
Lead Data Architecture and System Design
Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines.
Design end-to-end data systems spanning batch and streaming ingestion, transformation, data modeling, storage, orchestration, serving layers, and consumption patterns.
Make and document high-quality architecture decisions, including tradeoffs involving performance, reliability, scalability, latency, security, maintainability, and cost.
Define reusable architectural patterns for common data engineering challenges, including CDC, event-driven data flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented data models.
Establish clear boundaries and interfaces between operational systems, data platforms, analytics layers, and downstream applications.
Lead technical design reviews for high-impact initiatives and provide clear, constructive direction on implementation approaches.
Identify architectural risks early and drive plans to mitigate technical debt, single points of failure, data inconsistency, and operational fragility.
Set Engineering Standards and Best Practices
Establish and continuously improve standards for data engineering development, testing, deployment, documentation, monitoring, incident response, and lifecycle management.
Define best practices for version-controlled data transformations, infrastructure as code, CI/CD, code review, automated testing, and environment promotion.
Build a culture of data reliability by implementing standards for data contracts, schema management, lineage, observability, freshness, completeness, accuracy, and reconciliation.
Qualification
A builder who shipsAn evaluator by instinctA platform thinkerComfortable in the dataTenaciousOne teamZoomInfo (NASDAQExperience implementing data meshFamiliarity with data governanceExperience supporting financialExperience with ML data pipelinesLeadership Competencies
Required
A builder who ships. You pick the boring technology when it wins and you would rather have a running adapter than a design doc.
An evaluator by instinct. You do not release a version without a test set, a threshold, and a number for what it costs.
A platform thinker. You build things that other people run, and you design for the day the vendor goes down.
Comfortable in the data. You can read a pipeline, reason about matching, and explain why a wrong merge is worse than a missed one.
Tenacious. ZoomInfo is fast, distributed, and messy. You go find the people you need and drive the work to done.
One team. Honest, has the team’s back, celebrates wins and losses together.
You report to the Senior Manager of Product for Core Data, with the Principal AI Engineer as your technical lead, and sit inside the Core and Global Data organization under the Chief Data Officer. Your day-to-day partners are the Principal AI Engineer, the product manager who owns evaluation and data policy, the Company and Person Data product managers, the research team that grades and rules, the agentic platform team, and company and person engineering. Expect interesting problems: how do you run a judge over a million records a day for cents, not dollars? How do you make a vendor replaceable without a rewrite? How do you let a researcher run a batch and rule on the misses without paging you?
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs.
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
Preferred
Experience with cloud-native data platforms on AWS, Azure, or GCP.
Experience implementing data mesh, domain-oriented data product, or self-service platform patterns.
Familiarity with data governance, cataloging, lineage, privacy, and access-control tooling.
Experience supporting financial, revenue, operational, customer, or enterprise analytics domains.
Experience with ML data pipelines, feature stores, or AI/LLM data foundations.
Experience managing major data-platform migrations, modernization programs, or large-scale architectural transformations.
Leadership Competencies
Systems thinker: Connects individual technical decisions to broader platform, organizational, and business outcomes.
