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Software ArchitectDavis Technology Management • Phoenix, Arizona, United States
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Software Architect

Davis Technology Management
  • US
    Phoenix, Arizona, United States
  • US
    Phoenix, Arizona, United States
Jetzt Bewerben

Über

ABOUT US
Davis Technology Management is a successful technology company in the IT staffing, Technology Consulting and IT Managed Services sector. Our focus is crafting technical and staffing solutions that empower businesses and foster growth. Our foundation is built on a commitment to our Core Values, and a team dedicated to bridging the gap between innovative IT solutions and businesses seeking to navigate the complexities of the digital age.
At the heart of everything we do, we’re dedicated to exceeding expectations and creating RAVING FANS both within our internal team and amongst our clients.
We are seeking a senior-level Software Architect specializing in Data & Analytics to lead the design and implementation of a modern enterprise analytics platform. This individual will define the organization’s target-state data architecture, establish scalable data pipelines and reporting frameworks, and create the foundational standards that enable reliable, self-service analytics across the business.
This is a strategic and hands-on role responsible for simplifying a complex data landscape, optimizing tooling and costs, and building a scalable Lakehouse-style architecture supporting both operational and analytical reporting. The architect will work closely with engineering teams and business stakeholders to ensure data is structured, governed, and delivered in a way that supports meaningful decision-making.
In addition to architecture leadership, the role includes hands-on prototyping, defining governance and data quality standards, mentoring teams, and guiding the organization toward a mature, scalable, and cost-effective analytics capability.
Key Focus Areas Architecture & Strategy
Define enterprise data architecture, pipelines, and reporting layers
Establish scalable Lakehouse / medallion data models (bronze, silver, gold)
Simplify and rationalize existing analytics tools and platforms
Develop long-term roadmap aligned with business goals
Hands-On Technical Leadership
Build reference implementations and architectural blueprints
Prototype solutions and guide development teams
Ensure scalability, performance, and maintainability
Governance & Standards
Implement data governance, quality, and security frameworks
Establish cataloging, naming conventions, and documentation standards
Enable self-service analytics while maintaining data integrity
Stakeholder Engagement & Enablement
Partner with business leaders to support strategic reporting needs
Mentor engineering teams on architecture best practices
Translate complex technical concepts into clear business value
Must-Have
Bachelor’s degree in Computer Science, Engineering, or related discipline
7–10+ years of experience in software architecture with strong focus on enterprise data and analytics platforms
Proven experience designing and implementing modern data architectures, including ETL/ELT pipelines, data warehousing, and Lakehouse / medallion patterns
Strong data modeling expertise across both operational (normalized) and analytical (dimensional / star schema) models
Experience building semantic layers and enabling self-service reporting, preferably with PowerBI
Hands‑on experience with enterprise data platforms such as Microsoft Fabric, AWS data services, or equivalent
Experience implementing data governance frameworks, including data quality, lineage, cataloging, and stewardship
Excellent communication skills with the ability to engage both technical teams and business stakeholders
Strategic mindset with the ability to design scalable, long‑term analytics solutions aligned to business decision‑making
Nice-to-Have
Cloud or data certifications (AWS Solutions Architect, AWS Data Analytics Specialty, Microsoft Fabric, Azure Data Engineer, etc.)
Experience working within AWS or Microsoft Fabric environments
Familiarity with PowerBI Copilot or natural language analytics capabilities
Experience supporting logistics, transportation, or supply chain analytics environments
Broader experience across cloud architecture or enterprise application architecture
Scope & Expectations This role will define and establish the enterprise data architecture standards, patterns, and governance framework used across the organization.
Establish scalable and cost‑efficient analytics architecture
Define architectural standards, best practices, and implementation patterns
Guide engineering teams through architecture adoption
Lead architecture reviews and strategic platform decisions
Enable a self-service analytics environment while maintaining strong governance
This individual will play a key role in advancing the organization’s overall data maturity and analytics capabilities.
Tools & Environment
Cloud-based enterprise data environment
Microsoft PowerBI with Copilot capabilities
Microsoft Fabric and/or AWS data services
Relational databases and cloud storage platforms
Mix of existing ETL, replication, and pipeline technologies undergoing modernization
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  • Phoenix, Arizona, United States

Sprachkenntnisse

  • English
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