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SR Architect, Dataat CDW Careers

Job ID: 
Focus Area: 
Information Technology
Post Date: 
Sep 17, 2021
Remote, Remote
Employment Type: 

The Sr Architect Data will develop application architecture specifications, application partitioning, object and data modeling, database design, quality assurance, and post implementation support, by developing and serving as an evangelist for Application Development best practices. This role will be guided by CDW’s Enterprise Architecture function and will continue to improve CDW overall application technology.


Key Areas of Responsibility

  • Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with key business partner stakeholders. 
  • Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement. 
  • Provide technical recommendations and engage with ETL/BI Architects, Business SMEs and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle and recommend effective solutions to develop high performance and highly scalable data solutions (data marts/warehouse and data mining and advanced analytics. 
  • Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration. 
  • Document the project and programs data architecture and environment in order to maintain a current and accurate view of the larger data picture, an environment that supports a single version of the truth and is scalable to support future analytical needs. 
  • Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving. 
  • Assess and determine governance, stewardship, and frameworks for managing data across the enterprise. 
  • Develop new architectures for applications based on new or emerging technologies. 
  • Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. 

Education and/or Experience Qualifications

  • 10 or more years of technology development and implementation experience. 
  • BS degree in Computer Science, Information Systems or equivalent technology knowledge/experience. 

Required Qualifications

  • Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions.
  • Expertise in various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management.
  • Expertise with normalized OLTP, MDM and DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification.
  • Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tool.
  • Experience working with cloud infrastructure (at least one of Azure, AWS, GCP).
  • Strong problem solving, influencing, communication, and presentation skills, self-starter.
  • Expertise with normalized OLTP, MDM and DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification.
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef).
  • History of balancing multiple priorities simultaneously with the ability to adapt to the changing needs of the business while meeting deadlines.
  • Demonstrated outstanding written and verbal communication skills. Ability to work effectively with other technology teams as well as business partners. Ability to effectively present information, interact with, and respond to questions from managers, employees, customers, and vendors.

Preferred Qualifications

  • MS Degree in Computer Science or Information Systems.
  • Experience with Azure Data Factory, Synapse Analytics, Databricks.
  • Experience with Python.
  • Experience with ETL Tools (SSIS, Informatica, Ab Initio, Talend).
  • Experience with Reporting Tools (SSRS, Cognos, Business Objects, or Microstrategy).
  • Experience in one or more the following RDMS, MySQL, NoSQL, Mongo.
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