Sr Staff Data Architect

illumina Illumina, Inc.

Illumina is looking for a Sr Staff level data modeler to provide view modeling and governance for our analytics platform and reporting tools. Reporting into the Enterprise Architecture team provides this position the visbility to align and influence strategic initiatives. The ideal candidate has five plus years data modeling with analytics and BI experience to develop and govern business semantic data views used in functional and corporate applications and analytics.

All About You

Responsibilities:

  • Develop, cusomtize, deploy and govern semantic layer views for data warehouse and reporting tools using the physical, logical and conceptual view model
  • Assist with the creation of semantic views in SAP HANA platform
  • Facilitate the verification and management of customer driven Tableau datasource connections
  • Work as technical lead collaborating with other team members on the enterprise data architecture to define and build the enterprise data dictionary and metadata management pracitices
  • Collaborate with all business function data stewards, analytics developers and report builders on required semantic data views for their respective functional area

Requirements:

  • Passion for the Data Architecture practice
  • 10+ years experience data modeling and SQL tools
  • SAP HANA knowledge a big plus
  • Knowledge of enterprise data architecture concepts and business semantics defining data usage
  • Proven database (relational & NoSQL), warehouse, data integration knowledge and experience
  • Demonstrated outstanding verbal, written communication skills to consult with, influence and persuade management and technical professionals
  • Acumen of standard business processes

Education:

  • BS or better in Information Management or Technology

Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.

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