Data Architect (AWS)

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
10% Travel

Skills

("AWS" or "Amazon Web Services")
("Architect" or "Consultant")

Job Details

Position: Data Architect (AWS)

 

Location: Marysville, OH (HYBRID)

 

Summary:

 

  • The Data Architect will work closely with business stakeholders to create and manage data products, mainly involving Amazon Web Services (AWS), that drive business value
  • This role will need a strong background in data architecture, business analysis, data product management, and a deep understanding of how data can be leveraged to meet business objectives
  • The Data Architect must have familiarity with AWS
  • Experience in Financial Services, Manufacturing, or Automotive industries is a plus
  • This position is Onsite in Marysville, OH with at least One Remote Workday

 

Responsibilities:

 

  • Collaborate with business stakeholders to identify data needs and opportunities for data products
  • Lead the analysis of source systems, performing thorough data profiling and data quality analysis
  • Design suitable data models and semantic layers for data warehouses and analytical reporting
  • Define and document the source-to-target mappings for data integration
  • Collaborate with Data Platform Services team on the design and strategy for reference data services
  • Work with subject matter experts (SMEs) to identify how data is related to business, application, and infrastructure architecture
  • Support the identification of key elements necessary to understand the health and performance of data architecture
  • Ensure that division data architecture solutions align with broader enterprise data strategy
  • Lead efforts to develop and maintain architectural assets for the business domains
  • Closely collaborate with enterprise architecture to advocate the sharing knowledge across the organization

 

Key Accountabilities:

 

  • Business Collaboration: Build and maintain relationships with key business leaders who oversee business critical systems
  • IT Collaboration: Work closely with Enterprise DPS team to solution data products that are needed by the business
  • New Technology: Monitor and research both emerging and established IT trends and technologies

 

Qualifications:

 

  • Proven experience in data architecture, business analysis, and data product management
  • Must have familiarity with AWS
  • Strong communication and presentation skills
  • Ability to support multiple and complex projects simultaneously
  • Experience with data modelling standards, tools, and best practices
  • Knowledge of cloud computing, big data technologies, and data integration techniques
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively with cross-functional teams
  • Bachelor's or Master's Degree in Computer Science, Information Technology, Business, or a related field is preferred
  • Experience in Financial Services, Manufacturing, or Automotive industries is a plus

 

Other Qualifications:

 

  • Working knowledge of product and manufacturing development lifecycles
  • Expertise in developing a strategic plan for data
  • Experience with business intelligence (BI) tools and data visualization
  • Knowledge of industry standards and best practices for data governance and data quality
  • Certification in data architecture or related fields (e.g., TOGAF, CDMP)

 

Company Description:

 

Paradigm Technology is a strategic Professional Services organization which primarily focuses on delivering high value solutions in Digital and Business Transformation.  We extend a work culture unlike any other Professional Services Company!  Our Practice Teams support two core areas:

 

IT Management Consulting and Project Management

  • Strategic and thought leadership arm supporting the CIO and business agenda as well as the execution teams delivering services and efficiencies within the PMO

 

Digital Practices

  • Drives the modernization of Digital Services, such as Cloud, Advanced Analytics, Data Engineering, Data Management, and Data Governance

 

Learn more at

 

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