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Senior Enterprise Data Modeler/Architect

Company: Splunk
Location: Denver
Posted on: February 25, 2021

Job Description:

Senior Enterprise Data Modeler/Architect Information Technology San Jose, California San Francisco, California Washington, D.C. Denver, Colorado Austin, Texas Atlanta, Georgia Seattle, Washington Charlotte, NC, North Carolina Phoenix, United States Portland, Oregon Detroit, Michigan New York, New York Boston, Massachusetts Chicago, Illinois Los Angeles, CA, California Philadelphia, Pennsylvania San Diego, California Vienna, Virginia Irvine, California Baltimore, Maryland New Orleans, Louisiana Enterprise Data Architect/Modeler will analyze, assess, document and design scalable and sustainable data architecture and data transformation processes within a large analytics pipeline. You will partner with cross functional teams to identify opportunities and support the development of data modeling best practice approaches. As Senior Data Modeler, you'll provide subject matter expertise on data architecture, that includes designing, creating, deploying and managing Splunk's analytics data architecture that aligns with direction, best practices, and structured data standards.-- Major Duties / Job Responsibilities:--

  • Experience leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects.--
  • Experience in illustrating business and data processes using simple entity relationship diagrams.
  • Ability to comprehend and apply Cloud Data Architecture Standards and integration design patterns.
  • Create detailed logical models identifying all the entities, attributes and their relationships along with the characteristics associated with each of those.
  • Segregate data models into ODS , data marts, and reporting layers. Support review, signoff and adoption of data models in collaboration with global businesses, architecture and delivery teams.
  • Experience with Master Data Management (Enterprise Customer, Account, Product, Employee Models) and Data Warehouse/Analytics Business Glossary implementation frameworks. Required Qualifications, Skills & Experience--
    • 12+ years of data architecture related experience such as data analysis, data modeling, data integration, master and metadata management
    • Experience identifying business subject areas and providing a taxonomy of data domains across enterprise data warehouse subject areas.--
    • Experience with Sales, Finance, Employee data in business applications such as Salesforce, SAP, Anaplan, Workday, etc
    • Partner with product owners, data engineers and business systems analysts to identify data mappings and generate enterprise analytics data models.--
    • Document data models across the company in a centralized location that is highly visible to stakeholders--
    • Work with platform, information security architects and data privacy leaders to design and enhance cloud data infrastructure to address security, PII and data reliability concerns.
    • Extensive hands on experience in leading large-scale full-cycle cloud enterprise data warehousing (EDW) projects
    • Extensive hands on experience in data warehousing design, ETL/ELT, BI process development
    • Excellent SQL and strong hands-on scripting ability. Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

      Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor's EEO is The Law notice. Please click here to review Splunk's Affirmative Action Policy Statement.

      Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk's Career Site Privacy Policy.

      Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk's Pay Transparency Nondiscrimination Provision.

      For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

      Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk's website should send comments to accessiblecareers@splunk.com . Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

      Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

      To check on your application click here . You have been redirected to a Splunk job page

Keywords: Splunk, Denver , Senior Enterprise Data Modeler/Architect, Accounting, Auditing , Denver, Colorado

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