1.20 Enterprise Architect

Focused HR SolutionsMadison, WI
Hybrid

About The Position

This position will support data management efforts across the Bureau to standardize data modeling practices to better align data architecture with technology, application architecture, and security needs. The position will work closely with the database management and application development teams to enhance data interoperability and data integration efforts. This position will play a lead role in establishing DCF’s data interoperability strategy as well as data classification and security framework. The ideal candidate will have the ability to be self-directed and able to work independently. The ideal candidate will have excellent written and oral communication and will have experience creating and documenting technical processes and standards.

Requirements

  • Expert knowledge in enterprise-wide information architecture planning
  • Expert-level knowledge of data modeling concepts
  • Expert-level knowledge of information security classification and categorization
  • Expert-level knowledge of Erwin Data Modeling software
  • Bachelor's or Master's Degree in Computer Science, Information Systems, or other related field, or equivalent work experience.
  • Typically has 10 or more years of experience with large and complex database management systems, business intelligence tools and applications.
  • Conceptual, Logical and Physical Data Modeling | 10+ years
  • Create database objects | 7+ years
  • Information Security concepts | 5+ years
  • Data integration/API integration | 5+ years
  • Data Warehouse - Experience in data warehouse design and development | 7 years
  • Database design | 7+ years
  • Erwin Data Modeling Software | 7 years
  • Expertise in implementation of large complicated models and processes | 5+ Yrs.
  • DB2 | 3 Yrs.
  • Experience in extract, transform, and load coding using Informatica | 7 Yrs.
  • Ability to navigate and query a relational database (Oracle) | 7+ Yrs.
  • Informatica | 1 years
  • Knowledge of Kimball data warehouse design principals | 7 years
  • Creating, reviewing and tuning SQL scripting | 5 years
  • Data analysis | 5 years
  • Oracle data dictionary views | 3 years
  • Metadata tools | 3 years

Nice To Haves

  • Excellent organization, analytical and communication skills | 5 of 5
  • Excellent organization, analytical, and communication skills | 7 years

Responsibilities

  • Support data management efforts across the Bureau to standardize data modeling practices.
  • Align data architecture with technology, application architecture, and security needs.
  • Work closely with database management and application development teams to enhance data interoperability and data integration efforts.
  • Play a lead role in establishing DCF’s data interoperability strategy.
  • Play a lead role in establishing DCF’s data classification and security framework.
  • Implement data management standards to ensure consistency in metadata categories within data models.
  • Produce and enforce database development standards and ensure consistency across all data models within DCF business intelligence.
  • Design, maintain, and develop database architecture as well as conceptual, logical, and physical data models.
  • Ensure all relevant aspects of data models (granularity, etc.) are taken into account.
  • Analyze logical and physical database models and guarantee models are in accordance with standards.
  • Provide data conversion and integration expertise to increase interoperability within the data platform.
  • Lead and facilitate communication with business customers, IT staff, and other stakeholders, incorporating business requirements into data model design.
  • Translate technical aspects of data modeling into language that non-technical users can understand.
  • Work with both technologists and non-technical users with ease and approachability.
  • Make recommendations on data maintenance tactics for slowly changing dimensions, data roll-off / archival planning, etc.
  • Coach, mentor, and lead other data modelers.
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