Big Data Architect (R-09979)
Austin (Hybrid) - Texas - United States
Applications have closed
Dun & Bradstreet
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 !
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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs