Remote opportunity at
ZoomInfo Technologies LLCPrincipal Data Engineer
ZoomInfo Technologies LLC is seeking a Principal Data Engineer to shape the architectural vision and engineering standards of its enterprise data platform. As an all-in-one AI…
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About This Role
ZoomInfo Technologies LLC is seeking a Principal Data Engineer to shape the architectural vision and engineering standards of its enterprise data platform. As an all-in-one AI go-to-market platform, ZoomInfo provides intelligence and automation to sales, marketing, and customer support organizations worldwide. In this hands-on technical leadership position, the incoming engineer will direct complex system designs, handle data ingestion and governance, and guide cross-functional strategies spanning analytics, software engineering, and security.…
Job Description
ZoomInfo Technologies LLC is seeking a Principal Data Engineer to shape the architectural vision and engineering standards of its enterprise data platform. As an all-in-one AI go-to-market platform, ZoomInfo provides intelligence and automation to sales, marketing, and customer support organizations worldwide. In this hands-on technical leadership position, the incoming engineer will direct complex system designs, handle data ingestion and governance, and guide cross-functional strategies spanning analytics, software engineering, and security.
This role suits an experienced technical authority who excels at translating abstract business challenges into scalable, reliable, and secure data pipelines and products. The individual will oversee end-to-end data architectures involving batch and streaming frameworks, establish rigorous testing and CI/CD policies, and actively mentor senior engineers to foster an inclusive, high-accountability engineering environment. Candidates will work within a modern technology stack that features Python, SQL, Snowflake, Airflow, dbt, Spark, and Kafka across AWS, GCP, and other cloud-native infrastructures.
Responsibilities
- Design and direct the technical architecture and resilient vision for enterprise data platforms and pipelines
- Establish reusable patterns for data orchestration, storage, CDC, event-driven flows, and multi-tenant models
- Define engineering standards for testing, CI/CD, infrastructure as code, observability, and data reliability
- Partner with analytics, product, and software teams to build trustworthy and discoverable data products
- Drive modernization initiatives such as migrating legacy platforms and consolidating fragmented data pipelines
- Mentor data engineers at all levels with an emphasis on growing senior staff into technical leaders
Requirements
- Possess ten or more years of professional experience in software, data, platform engineering, or a related field
- Accumulate five or more years of experience designing and operating enterprise-grade data platforms and distributed systems
- Demonstrate strong proficiency in SQL and at least one programming language like Python, Java, or Scala
- Bring deep familiarity with modern data architecture concepts including lakehouse platforms, streaming, and governance
Qualifications
- Experience with cloud-native data platforms on AWS, Azure, or GCP
- Familiarity with data mesh patterns or domain-oriented data product architectures
- Background with data governance, lineage, privacy, and cataloging tools
- Previous work supporting financial, revenue, customer, or enterprise analytics domains
- Experience handling machine learning data pipelines, feature stores, or AI/LLM data foundations
Core Skills
Benefits
- Comprehensive employee benefit plans
- Holistic mind, body, and lifestyle programs centered on overall well-being
- Additional compensation elements such as bonus, commission, or equity eligibility
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting explicitly lists the location and remote status as remote.
What is the salary range for this job?
The US base salary ranges from USD 171,500 to 269,500 per year, with additional compensation like bonus, commission, or equity potentially applying.
What core technologies are used in this role?
The technology stack includes Python, SQL, Snowflake, AWS, GCP, Airflow, dbt, Spark, Kafka, and Datadog.
What level of experience is required?
Candidates must have at least ten years of experience in data, software, or platform engineering, including five or more years designing large-scale data platforms.
Sample Interview Questions
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