Data Architect

Hybrid in Denver, CO, US • Posted 3 hours ago • Updated 3 hours ago
Contract Corp To Corp
Contract Independent
50% Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Enterprise Technology & Portfolio Enablement
  • Data Architecture & Governance
  • Platform & Technology Oversight

Summary

Enterprise Technology & Portfolio Enablement 

Organization Overview 

This group supports enterprise execution by aligning technology strategy, portfolio planning, and operational delivery. The focus is on creating predictability, scalability, and efficiency while maintaining strong governance and adaptability across business units. 

The team partners closely with business and technology leaders to ensure initiatives are prioritized effectively, executed predictably, and supported by strong data and technology foundations. 

Role Overview 

The Data Architect is responsible for defining, governing, and evolving the organization’s enterprise data architecture. This role ensures that data is reliable, secure, well-governed, and aligned with business objectives across analytics, reporting, operational systems, and compliance initiatives. 

The individual in this role will work closely with business leaders, engineering teams, and IT stakeholders to ensure data platforms and practices scale with enterprise needs. 

Core Responsibilities 

Data Architecture & Governance 

  • Define and maintain enterprise data architecture standards, principles, and governance frameworks 
  • Establish processes for metadata management, data classification, and data lifecycle governance 
  • Define data ownership and stewardship models to ensure quality, consistency, and accountability 
  • Ensure data architectures comply with regulatory, privacy, and security requirements 

Platform & Technology Oversight 

  • Evaluate and guide adoption of data platforms, tools, and technologies supporting analytics and reporting 
  • Provide architectural oversight for data security, backup, disaster recovery, and continuity planning 
  • Partner with application teams to support enterprise system implementations (ERP, CRM, operational platforms) from a data architecture perspective 
  • Research and assess emerging data technologies and industry best practices 

Business & IT Partnership 

  • Collaborate with business stakeholders to translate data-driven requirements into scalable architecture solutions 
  • Advise leadership on architectural trade-offs, risks, and long-term implications 
  • Ensure data solutions align with enterprise priorities while balancing performance, scalability, and security 

Solution Design & Integration 

  • Design and govern logical and physical data models across structured and unstructured data domains 
  • Oversee data integration patterns, data movement, and lineage across platforms 
  • Ensure interoperability across cloud, on-prem, and hybrid environments 
  • Address data-related integration and platform compatibility challenges 

Communication & Leadership 

  • Partner with engineering, analytics, and BI teams to promote consistent data practices 
  • Serve as a subject-matter expert and advocate for data management best practices 
  • Communicate data architecture strategy, progress, and risks to senior stakeholders 

Qualifications 

Education & Experience 

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience) 
  • 5+ years of experience in data architecture, data governance, or enterprise data management 
  • Experience supporting large-scale data initiatives such as data warehousing, analytics platforms, and enterprise reporting 
  • Experience with cloud and on-prem data technologies (Azure, AWS, Google Cloud Platform, SQL, NoSQL, ETL, data lakes, data warehouses) 
  • Familiarity with regulatory and data privacy frameworks (GDPR, CCPA, HIPAA, etc.) 

Technical Skills 

  • Strong expertise in data modeling, database design, and architectural patterns 
  • Experience with data integration, ETL/ELT pipelines, and API-based data access 
  • Knowledge of BI and analytics platforms (Power BI, Tableau, Snowflake, or similar) 
  • Experience with metadata management, master data, and governance processes 

Professional Skills 

  • Strategic mindset with the ability to align data architecture to business goals 
  • Strong communication skills with technical and executive stakeholders 
  • Ability to manage multiple initiatives in a complex environment 
  • Strong analytical and problem-solving skills 

Additional Information 

  • Denver-based, hybrid role with required onsite collaboration 
  • Light travel may be required (up to ~5%), based on business needs 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170426
  • Position Id: 8937187
  • Posted 3 hours ago

Company Info

About LOGICEXCELL LLC

LogicExcell is a premier technology solutions partner delivering enterprise-grade software development and strategic IT consulting services to forward-thinking organizations. We specialize in architecting transformative digital solutions across manufacturing, logistics, healthcare, financial services, retail, and construction sectors. Our comprehensive service portfolio encompasses cloud-native application development, intelligent automation, enterprise resource planning, and advanced data analytics—all designed to drive operational excellence and measurable business outcomes. Through our strategic talent acquisition services, we connect organizations with elite technical professionals who seamlessly integrate into mission-critical initiatives. Partner with LogicExcell to accelerate digital transformation, optimize technology investments, and achieve sustainable competitive advantage in an increasingly complex business landscape.

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