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Data Architect at CYNET SYSTEMS Inc. (Boston, MA)

Job Description

Job Description:
  • Designs relational databases and develops strategies for data warehouse implementations following industry best practices (e.g., Inmon, Kimball).
  • Evaluates new data sources to assess quality and determine integration approach.
  • Conducts data risk assessments, identify and document data mappings/lifecycle, and helps build an enterprise data governance model, policies and programs.
Essential Responsibilities:
  • Conducts data requirements assessment and design sessions with customers.
  • Works with analysts to establish clearly defined business requirements.
  • Works with data suppliers to establish input and interface specifications.
  • Performs data analysis for source system data.
  • Creates conceptual, logical and physical models for healthcare data warehouse implementations.
  • Designs and manages data models in data modeling product.
  • Develops third normal form and dimensional models that adhere to data warehouse best practices.
  • Designs time-variant models that support both point-in-time (historical) and current state analysis.
  • Generates DDL from model for RDBMS (Oracle, Teradata).
  • Provides professional documentation describing data architecture.
  • Represent the EDW team and collaborate with the customer and other agencies to conduct data risk assessments, document data mappings/lifecycle, and help build a data governance model, policies and programs.
  • Represent the EDW team and collaborate with ongoing customer enterprise wide MDM and metadata projects
  • Understands customer's Data Management program and environment and identifies the next generation of processes and products to refine and extend the lifecycle of the program.
  • Develops the approach for the implementation of Data Management lifecycle components (examples include master data management, conformance with reference architecture, metadata strategy, data warehousing strategy, data classification programs, data quality,)
  • Collaborates across the organization to understand the value of these components and obtains alignment in the approach and benefits
  • Leads project teams, or acts in a consulting capacity, in the implementation of the data management lifecycle components
  • Provides direction and reviews solutions with regard to data architecture, working with software development teams and enterprise and application architects to ensure consistency and coherence with the enterprise architecture.
  • Based on knowledge of data centric technology trends in the marketplaces, determines their applicability to the customer; evaluates and recommends data related technology products based on Truven's overall directional goals.
  • Demonstrates an ability to quickly identify the most likely problem area in a complex, integrated data environment
Job Requirements:

REQUIRED Skills and Experience:
  • 10 years' experience as a data architect for multi-terabyte data warehouse projects
  • 10 years' experience with ERwin Enterprise Data Modeler Suite OR equivalent.
  • 10 years' experience in logical data modeling - relational and dimensional.
  • 5 years' experience in data governance analysis
  • Insurance-related data modeling experience.
  • Understanding of industry best practices in data warehousing design and development.
  • Good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization.
  • Ability to express complex technical information in a user-friendly language and style; present information effectively in one-on-one, and small group settings, including executive management.
  • Ability to communicate clearly in writing to document data requirements and translate into technical solutions.
  • Understands the importance of maintaining the physical and technical security and privacy of HIPAA Protected Health Information (PHI).
  • Ability to lead/mentor less experienced data modeler(s).
PREFERRED Skills and Experience:
  • Healthcare related data modeling experience.
  • Oracle DBMS experience.
Education / Certifications:
  • Bachelor's degree AND 10 years' experience in a data warehouse, data modeling OR equivalent experience.

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