Principal Data Engineer
Job Summary
Job Description
Dun & Bradstreet is seeking a Principal Data Engineer for its Prime & GTS team. This role involves shaping the data ecosystem, acting as a subject matter expert for data analysis and element design. Key responsibilities include modeling, mapping, and integrating data across systems to ensure accuracy and trust. The engineer will advise on data element creation, corrections, and operational issues, lead data analysis to understand data flows and dependencies, and collaborate with business and IT teams for accurate data integration and transformation. The position requires reviewing and refining data element requirements, serving as a trusted advisor on data architecture, and communicating complex data concepts effectively. Guidance and mentorship to team members on best practices are also expected.
Must have:
- 10+ years of experience in data analysis
- Strong background in developing data schemas
- Expertise in SQL
- Experience with XML and JSON
- Understanding of columnar database architectures
- Experience with Big Data platforms
- 6+ years of Data Engineering experience
- Experience building Data Warehouses
- Experience building Data Lakes
- Experience with real-time data streaming
- Proficiency with Google Cloud Platform (GCP)
- Proficiency with Amazon Web Services (AWS)
- Experience in Agile environments
Good to have:
- Experience with ETL pipelines
- Comprehensive grasp of the data lifecycle
- Experience with Amazon Redshift
- Experience with Snowflake
- Experience with Google BigQuery
10 skills required
Job Details
Why We Work at Dun & Bradstreet
Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.
As a Principal Data Engineer within the Prime & GTS team, you will play a pivotal role in shaping our data ecosystem. You will serve as the subject matter expert (SME) for data analysis and data element design, ensuring that data is accurately modeled, mapped, and integrated across systems. Your work will directly influence how data is manufactured, consumed, and trusted across the organization.
As part of the Prime & GTS team, you’ll:
- Act as the Principal Data Analyst SME, advising on data element creation, mapping, corrections, and operational data issues.
- Lead data analysis efforts to understand data flows, transformations, and dependencies across systems.
- Collaborate with business units and IT teams to ensure accurate data integration and transformation.
- Review and refine data element requirements, ensuring alignment with existing architecture and minimal disruption.
- Serve as a trusted advisor on data architecture, collaborating closely with engineering teams.
- Communicate effectively with stakeholders, translating complex data concepts into actionable insights.
- Guide and mentor team members on best practices in data analysis and engineering.
About you:
- Minimum 10+ years of experience in data analysis, with a strong background in developing data schemas and engineering data elements.
- Proven expertise in SQL, and working with structured and semi-structured data formats such as XML and JSON.
- Deep understanding of columnar database architectures and performance optimization techniques.
- Extensive experience with Big Data platforms and technologies, including ETL pipelines, and a comprehensive grasp of the data lifecycle—from ingestion and cleansing to transformation, enrichment, and packaging.
- At least 6+ years of hands-on experience in Data Engineering, including building and maintaining Data Warehouses, Data Lakes, and real-time data streaming solutions.
- Proficiency with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).
- Demonstrated experience working in Agile environments as part of a data platform or engineering team.
- Hands-on experience with modern data engineering tools and environments such as Amazon Redshift, Snowflake, and Google BigQuery, ideally at enterprise scale.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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