Principal Big Data Cloud Engineer (R-09979)
Austin (Hybrid) - Texas - United States
Applications have closed
Dun & Bradstreet
The Role: 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.
Key Responsibilities:
- 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.
Key Requirements:
- 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.
- Learn more about our benefits: https://bit.ly/2VwyKQt !
We are committed to Equal Employment Opportunity and providing reasonable accommodations to qualified candidates and employees. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to acquisitiont@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.
Tags: APIs Architecture AWS Azure Big Data Databricks Data governance Data management Data warehouse GCP GitHub Machine Learning Microservices ML models Privacy Python R Security Spark Streaming Terraform Testing
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Health care Insurance Medical leave Parental leave
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