Big Data Architect (R-09979)

Austin (Hybrid) - Texas - United States

Applications have closed
Why We Work at Dun & BradstreetDun & 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!
This Role:As an Architect (Big Data & Cloud) you will be responsible for leading the overall Big Data and Cloud adoption across DNB globally. He or she will work with various Product and Business teams to understand their needs and propose appropriate cloud-based architecture/design for implementation. Will be leading large Analytics and Cloud initiatives while working with various IT Infrastructure, Business, and Vendor teams.

Key Responsibilities:

  • Will be responsible for developing overall Cloud/Big Data architecture strategy, technical design, and other technical documentation to support various IT initiatives.
  • Be able to collaborate with various BU/IT teams to understand their current requirements/pain points, document use cases/tech requirements, and suggest appropriate cloud-based solution architecture’s
  • Identify and solve design problems of moderate to complex 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, system performance and suggest cost effective models.
  • Educate engineers on design principles, best practices and enforce design concepts.
  • Develop budget estimates & project plans.

Key Requirements:

  • Should have at least 10+ years of extensive experience in the area of Data Architecture & Application Solution.
  • Minimum 6+ years of experience in design and implementation of Big Data technologies and data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture).
  • Must have 4+ years of hands-on experience in architecting, scaling out, managing and performance optimization of large-scale big data clusters large scale applications on AWS, GCP, DataBricks or Azure.
  • Experience in architecting production-level workloads, including end-to-end pipeline load performance testing and optimization on the cloud based big data platforms.
  • 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.
  • Any experience on elastic search, solr, and other search engines is a plus.
  • Deep technical knowledge & comfortable coding in Python and Spark required.
  • Experience rolling out Machine Learning models at scale will be a HUGE plus.
  • Previous experience working on large multi-region big data platform implementations.

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 !
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.
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: Architecture AWS Azure Big Data Databricks Data governance Data management Data warehouse GCP Lambda Machine Learning ML models Privacy Python R Security Spark Streaming Testing

Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Health care Insurance Medical leave Parental leave Wellness

Region: North America
Country: United States
Job stats:  3  0  0

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