ZoomInfo is where careers accelerate. We move fast, think boldly, and empower
you to do the best work of your life. You’ll be surrounded by teammates who care
deeply, challenge each other, and celebrate wins. With tools that amplify your
impact and a culture that backs your ambition, you won’t just contribute. You’ll
make things happen–fast.
We are looking for a highly skilled Senior Data Engineer based in Ontario,
Canada to become part of our core Data & AI Engineering team. In this pivotal
role, you will be responsible for designing and expanding enterprise-level data
infrastructure that enables ZoomInfo's internal teams to interact with data
comprehensively—extracting, exploring, analyzing, and generating
insights—through various platforms using ZI's internal chat agent
The ideal candidate has a strong background in big data processing, pipeline
orchestration, and data modeling, with a proven track record of delivering
scalable and high-quality data solutions in fast-paced, data-centric product
environments. Given the dynamic nature of emerging technologies, this role
requires an individual who excels at exploration and embraces continuous
learning as core responsibilities. You'll constantly research and implement
innovative solutions while integrating vast, diverse data sources into our AI
applications, including our industry-leading LLM-powered systems
WHAT YOU’LL DO:
- Design, develop, and maintain high-performance, product-centric data
pipelines using Airflow, DBT, and Python.
- Architect and optimize the massive-scale data warehouse and lakehouse that
serves as our single source of truth for all customer data, primarily using
Snowflake.
- Lead the integration of diverse structured and unstructured data sources
(e.g., web data, third-party APIs) into our data ecosystem, ensuring
high-quality and reliable ingestion.
- Implement and enforce Model Context Protocol (MCP) or similar architectures
to feed accurate and contextual data into our LLM-powered products for
applications like Retrieval Augmented Generation (RAG) and advanced search.
- Collaborate with ML engineers, data scientists, and product managers to
translate business needs into scalable data solutions that directly enhance
customer value.
- Define, monitor, and enforce data quality SLAs across all pipelines and
products, ensuring data accuracy and lineage are a top priority.
- Mentor and coach junior engineers, promoting best practices in code quality,
data architecture, and operational excellence.
- Participate in architectural decisions and long-term strategy planning for
our enterprise-wide data infrastructure, with a focus on cost, performance,
and reliability.
WHAT YOU BRING:
- Expert-level SQL for building performant, scalable queries and
transformations on massive datasets.
- Strong Python programming skills with a focus on distributed computing, data
manipulation, and building robust APIs.
- Production-level experience for large-scale batch and streaming data
processing.
- Hands-on experience with DBT (Data Build Tool) for advanced data modeling and
transformations in a modern data stack.
- Deep knowledge of Snowflake data warehouse design, optimization, and cost
modeling.
- Experience implementing Model Context Protocol (MCP) or similar architectures
to feed structured and unstructured data into LLM-powered systems.
- Strong understanding of data architecture concepts including data lakes,
event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh.
- Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code
(e.g., Terraform).
NICE TO HAVE
- Familiarity with LLMOps, LangChain, or RAG (Retrieval Augmented Generation)
pipelines.
- Experience with building embedding models or pipelines for Named Entity
Recognition (NER).
- Knowledge of data cataloging tools (e.g., OpenLIneage etc) and lineage
tracking.
- Familiarity with other distributed systems and databases (e.g., DynamoDb,
Flink).
REQUIRED NON-TECHNICAL SKILLS
- Excellent communication skills – ability to explain complex technical
concepts to both engineering teams and non-technical stakeholders.
- Strategic & Product-Oriented Thinking – can translate business objectives and
customer needs into scalable, high-impact data solutions.
- Leadership & Mentorship – experience guiding and uplifting engineering teams
to achieve their full potential.
- Stakeholder Management – able to collaborate effectively across departments
(Product, Engineering, Sales, Compliance).
- Agility & Adaptability – thrives in ambiguous, evolving environments and can
rapidly prototype and iterate on solutions.
- Strong documentation habits and ability to evangelize best practices across
the organization.
QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related
field.
- 8+ years of progressive experience in data engineering, with a track record
of leadership and impact.
- Demonstrated experience in implementing or scaling data infrastructure for a
data-centric product company.
Location: Toronto, CA (Remote/Hybrid).
About us:
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 may use a software-based assessment as part of the recruitment process.
More information about this tool, including the results of the most recent bias
audit, is available here
[https://www.zoominfo.com/legal/nyc-local-law-144-notice].
ZoomInfo is proud to be an equal opportunity employer, hiring based on
qualifications, merit, and business needs, and does not discriminate based on
protected status. We welcome all applicants and are committed to providing equal
employment opportunities regardless of sex, race, age, color, national origin,
sexual orientation, gender identity, marital status, disability status,
religion, protected military or veteran status, medical condition, or any other
characteristic protected by applicable law. We also consider qualified
candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or
administer a lie detector test as a condition of employment or continued
employment. An employer who violates this law shall be subject to criminal
penalties and civil liability. ZoomInfo does not administer lie detector tests
to applicants in any location.
