Principal Data Platform Architect

11 - 15 years experience  •  Technology

Salary depends on experience
Posted on 07/18/18
San Jose, CA
11 - 15 years experience
Technology
Salary depends on experience
Posted on 07/18/18

Help Adobe build the next generation of big datatechnology!  We are looking for an experienced, world-class data technology and modeling expert to help define Adobe’s cloud data architecture and develop the data models that drive our customer’s business.  This is a senior role, and while you won’t have direct reports you will be responsible for leading cross-organization technical initiatives with broad strategic scope.  Technical acumen is a must, but this role also requires significant communication, collaboration, and leadership abilities.  You will work among talented and industry-renowned experts in both data technology and digital media technology across Adobe.Primary Responsibilities: 

  • Develop technical specifications, design documents, and data model specifications
  • Define end-to-end data architecture for enterprise use cases
  • Define standards to support data quality, normalization, and classification
  • Communicate and evangelize defined data architectures with customers and partners
  • Collaborate with data systems engineers to ensure applicability to defined data architectures
  • Lead cross-organization working groups to define data architectures across Adobe’s businesses
  • Train and mentor engineering and support staff on topics related to data architecture and modeling

 Qualified candidates will have the following:

  • 10+ years working directly on enterprise data architecture and modeling
  • 6+ years working on data warehouse technology such as Teradata, Netezza, Oracle
  • 6+ years working on strategic data initiatives and MDM    
  • Expertise in ERD and other data modeling languages
  • Expertise in SQL and other data-oriented languages
  • Expertise in distributed data processing and storage systems
  • Masters Degree in Computer Science, Mathematics, or Data Science or equivalent experience

Ideal candidates will also have:

  • Expertise working with Spark or other modern streaming data technology
  • Expertise in working with Hadoop and related formats and technologies
  • Expertise in data compression
  • Expertise in web data technologies such as JSON Schema and JSON-LD
  • Experience working with cloud-based data systems, such as AWS DocumentDB, Azure CosmosDB, etc. (Azure a big plus)
  • PhD in Computer Science, Mathematics, or Data Science or equivalent experience

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