Principal Big Data Cloud Engineer (R-09979) - Dun & Bradstreet
Austin (Hybrid) - Texas - United States
Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!
The Principal Big Data Cloud Engineer will be responsible for leading and implementing Big Data and Cloud adoption across DNB data platforms. He or she will work with various Business and Technology teams to understand their needs and propose appropriate cloud-based architecture solutions for implementation and contribute both independently and while leading IT, Business, and Vendor resources.
Developing Cloud/Big Data architecture strategy, technical design, and technical documentation.
Collaborate with various BU/IT teams to understand their current requirements/pain points, document use cases/tech requirements, and suggest appropriate cloud-based solutions.
Identify and solve design problems of moderate to complex Big-data cloud implementation, should independently plan and design solutions, involving potentially conflicting design requirements.
Be a trusted advisor and internal SME who will help BU teams with review of architecture patterns, security & compliance, system performance and cost optimization strategies.
Lead and conduct hands-on evaluation and POCs as needed for Big-data and cloud technologies.
Perform Big data and Cloud platform development to contribute to aligned project delivery.
Educate engineers on design principles, best practices and enforce design concepts.
Minimum 3+ years of experience in design and implementation of Big Data technologies and data architecture patterns (data warehouse, data lake, streaming, etc.).
Should have 2+ years of hands-on experience in architecting, scaling out, managing and performance optimization of large-scale big data clusters and large scale applications on AWS, GCP, DataBricks or Azure.
Should have worked on large multi-region big data platform implementation in the last 3 years.
Must have experience in architecting and/or implementing production-level workloads, including end-to-end pipeline load performance testing and optimization.
Should have experience on overall data governance, compliance and advanced data security including fine grain access controls, data privacy/protection, meta data management, and other related items.
Should have extensive experience in the area of Data Architecture & Application Design, APIs / Microservices.
Should have Knowledge of Terraform, Hashicorp Vault, Harness, GitHub, Snyk, or similar services.
Experience on elastic search, solr, and other search engines is a plus.
Deep technical knowledge & comfortable coding in Java, Python and Spark.
Experience rolling out Machine Learning models at scale will be a Nice to Have.
What we offer:
Generous paid time off, increasing with tenure.
100% paid parental leave after one year.
Paid sick time to care for yourself or family members.
Education assistance and extensive training resources.
Do Good Program: Paid volunteer days & donation matching.
Competitive 401k & Employee Stock Purchase Plan with company matching.
Health & wellness benefits, including a Gympass membership.
Medical, dental & vision insurance for you, spouse/partner & dependents.
FOR US APPLICANTS - Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.
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