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Senior Data Architect

Remote / Online - Candidates ideally in
Prosper, Collin County, Texas, 75078, USA
Listing for: Vytwo Technologies Inc.
Remote/Work from Home position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Job Type

Contract

Location

Minneapolis, MN

Work Authorization

Please mention Work Authorization and current location during sharing the resume.

Role Summary

A thought leader who can define and build out the components of a comprehensive data strategy and architecture with a strong focus on AI. This person should have deep expertise in modern data architecture patterns and the ability to articulate a clear, forward‑looking vision.

Key Responsibilities
  • Data Architecture & Design:
    Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms.
  • Data Flow:
    Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement.
  • System Alignment:
    Collaborate closely with Application and Cloud Architects to ensure technical systems support the established data architecture standards.
  • Technology Selection:
    Develop product short‑lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (Hadoop, Spark, Kafka), SQL and No

    SQL database technologies.
  • Data Governance & Quality:
    Evolve and define data governance policies, standards, and best practices; design metadata management, data dictionaries, and RM; uphold data quality and compliance.
  • Technical Leadership & Mentorship:
    Provide technical oversight, guidance to Data Architects/Engineers, enforce corporate data standards, and mentor colleagues.
Required Skills and Experience Technical
  • Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.).
  • Expertise in a wide variety of database technologies – relational (SQL) and No

    SQL platforms, and Big Data technologies.
  • Ability to architect scalable, high‑performance data warehousing and data lake solutions on major cloud platforms (AWS, Azure, GCP).
  • Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.
Professional
  • Communication:
    Excellent verbal and written communication skills with the ability to translate complex technical information into simple, accessible terms for non‑technical stakeholders.
  • Leadership:
    Strong leadership skills with proven ability to establish relationships, manage differing stakeholder perspectives, and drive technical direction across teams.
  • Strategic Thinking:
    Systematic, disciplined, analytic approach to problem‑solving with awareness of evolving business needs and technology capabilities.

Flexible work from home options available.

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Position Requirements
10+ Years work experience
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