Data Architect W Ecommerce

Cardinal Integrated Technologies, Inc.

$100K — $140K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 10+ years of enterprise or data architecture experience.
  • Strong background in database design and development, particularly in collaboration with developers.
  • Experience with NoSQL technologies is advantageous.
  • E-commerce experience is a plus.

Responsibilities

  • Collaborate with business leaders to define data architecture and management strategies.
  • Translate business needs into logical and physical data models.
  • Ensure data designs uphold business rules and facilitate integration and integrity.
  • Adapt data structures for future business enhancements.
  • Deliver strategic plans to improve data quality and integration supporting business goals.

Benefits

  • Collaborative work environment with business teams and external partners.
  • Opportunity to influence strategic decisions across departments.
  • Access to cutting-edge analytics technology platforms.
  • Possibility for professional growth in data architecture.
  • Engagement in large-scale technical implementations.
Full Job Description
The Data Architect excels at understanding and developing a strategy focused on business goals while capitalizing on technology insights to improve the value of analytical data, improve effectiveness of collected data and streamline the flow of and integration of data.
  1. The data architect will collaborate with the internal business teams and external vendors/partners to ensure that data management decisions align with overall business strategies, tactical needs and plans
  2. Identify, select, and deploy analytics technology platforms to capture, integrate, and analyze data from many sources
  3. Lead the use of technologies to enable data-driven decisions applied to all guest interactions, pricing and product decisions
  4. Derive insights from data mining, modeling, and applied analytics on top of large data sets
The Data Architect must possess broad data domain knowledge and in-depth hands on experience with enterprise data architecture, data governance, data management, data modeling, business intelligence, advanced analytics, data warehousing and integration technologies.
MAJOR RESPONSIBILITIES:
  1. In collaboration with business leaders and analysts, lead the strategy, architecture and process improvements for data architecture and data management, balancing long and short-term needs of the business.
  2. Translate business and data requirements into domain, logical and physical models in support of Enterprise Data Models, OLTP, Operational Data Structures and Analytical systems
  3. Ensure data design follows the prescribed reference architecture and framework and reflects appropriate business rules and facilitates data integration, data conformity and data integrity.
  4. Ensure data structures are designed for flexibility to support future business needs and enhancements
  5. Interpret and deliver impactful plans that specify strategy and improve data integration, data quality and data delivery in support of business initiatives and roadmaps to achieve results.
SCOPE: Define, analyze, develop, test, validate, and support the software applications in support of the Data Architecture and Analytics solutions.
EDUCATION: Bachelor's degree in Computer Science or Computer Engineering or Database Technology or Software Engineering.
EXPERIENCE:
  1. Bachelor's degree (or equivalent) in Management Information Systems, Technology, or related field, Master's Degree highly desirable.
  2. 10+ years of technical, enterprise or data architecture experience.
  3. Strong database design and development experience working in collaboration with full-stack developers and analytics teams.
  4. Experience in NoSQL technologies a plus.
  5. E-Commerce industry experience preferred.
  6. Track record of successful data architecture, enterprise data architecture delivery including data modeling and governance solutions.
  7. Track record of successful large scale technical implementations.
  8. Experience in defining and delivering on a technical roadmap.
  9. Experience in successful collaboration with technical teams, functional business lines and third party vendors/contractors.
  10. Flexible and adaptable in regards to learning and understanding new technologies and data architectures.
  11. Strong written, oral, and interpersonal communication skills.
  12. Ability to conduct research into business intelligence, visualization, and business analysis tools.
  13. Highly self-motivated and directed.
  14. Proven analytical and problem-solving abilities.
  15. Ability to effectively prioritize and execute tasks in a high-pressure environment.
QUALIFICATION:
  1. Experienced across all phases of data modeling, from conceptualization to database optimization
  2. Expertise in high volume, transactional environments with third party business system integrations
  3. Excellent organization and project management skills with a track record of successful project delivery
  4. Excellent problem solving and analytical capabilities
  5. Strong verbal/written communication skills
  6. Strong judgment and decision making skills

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