Senior Enterprise Data Architect

et, dta, hadoop, datawarehouse
Full Time
$140,000 - $180,000
Work from home not available Travel not required

Job Description

NO SPONSORSHIP

Senior Enterprise Data Architect

Senior Enterprise Data Architect to join the Enterprise Architecture team. This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT owners, solutions architects, and the development teams. Architective governance and controls security cloud Data Warehousing analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, Unstructured Data, ETL, ESB. EDW, Hadoop, Spark, Sqoop, Hive, Flume, Storm, Kafka, SOA, Restful API. Webservices: XSDs, WSDLs, JSON Enterprise Service Bus.

Qualifications:

  • 7+ years in the data architecture space and 3+ years with big data architectures.
  • Expert knowledge and demonstrated abilities working in large, multi-million dollar Data architecture programs.
  • Ability to evaluate and assess existing legacy data assets with an eye on modernization and simplification.
  • Proven experience in architecture governance, controls, and peer reviews in regards to data, security, and cloud.
  • Experienced in developing architecture reference models for data governance and control.
  • Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final directional recommendations.
  • Responsible for creating design patterns and best practices for data and the integration of data through the enterprise.
  • Responsible for creating reference architecture, and roadmap necessary to hold architecture delivery to the level of quality.
  • Well versed in the Data domains (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, Unstructured Data, ETL, ESB)
  • Experience developing enterprise level data standards, master data management architectures and EDW architectures with IBM DB2, Oracle, SQL Server database technologies.
  • Experience with big data technologies such as Hadoop, Spark, Sqoop, Hive, Flume, Storm, and Kafka.
  • Experienced in SOA and Restful API architectures, with a deep understanding of web services (XSDs, WSDLs, JSON) used within an Enterprise Service Bus.
  • Proven ability to work with various service transports and protocols (i.e. SOAP, HTTP, MQ, etc.)
  • Hands-on ability to build and manage enterprise data models, leveraging both industry and application specific service models.
  • Experience with unstructured or semi-structured data design and implementation.
  • Experience with data profiling tools and processes.
  • Expert knowledge of normalized and dimensional modeling techniques.

Required Qualifications:

  • Bachelor's degree and at least 15 years of experience in information technology OR,
  • Master's degree and at least 12 years of experience in information technology OR,
  • At least 17 years of experience in information technology.
  • AND 2 years lead experience.

Posted By

Robyn Honquest

Contact
Dice Id : napil006
Position Id : 6226187
Originally Posted : 3 months ago
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