Cloud & Data Architect
Budapest - Hungary
Applications have closed
Dun & Bradstreet
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.
As part of the Prime team, you’ll:
- 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
About you:
- 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
- Must have worked on at least 2 large multi-region big data platform implementations in the last 2 to 4 years
- Must have experience in architecting production-level workloads, including end-to-end pipeline load performance testing and optimization on the cloud based big data platforms
- Must 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
- Educate engineers on design principles, best practices and enforce design concepts
- Any experience on elastic search, solr, and other search engines is a plus
- Deep technical knowledge & comfortable coding in Python and Spark required
- Should have prior experience in developing work effort & budget estimates, project plans
- Experience rolling out Machine Learning models at scale will be a HUGE plus
We appreciate you may not meet all listed criteria above, but if you have the passion and eagerness to learn and grow, we want to hear from you!!
Tags: Architecture AWS Azure Big Data Databricks Data governance Data management Data warehouse GCP Lambda Machine Learning ML models Privacy Python Security Spark Streaming Testing
Perks/benefits: Career development
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