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 were 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 organizations 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

Bachelors degree in Computer Science Engineering or related discipline
710 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 Power BI
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 Power BI 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.

Key expectations include:

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 organizations overall data maturity and analytics capabilities.

Tools & Environment

Cloud-based enterprise data environment
Microsoft Power BI 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

Required Experience:

Staff IC