Software Architect

ABOUT USDavis 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 AreasArchitecture & StrategyDefine enterprise data architecture, pipelines, and reporting layersEstablish scalable Lakehouse / medallion data models (bronze, silver, gold)Simplify and rationalize existing analytics tools and platformsDevelop long‐term roadmap aligned with business goalsHands‐On Technical LeadershipBuild reference implementations and architectural blueprintsPrototype solutions and guide development teamsEnsure scalability, performance, and maintainabilityGovernance & StandardsImplement data governance, quality, and security frameworksEstablish cataloging, naming conventions, and documentation standardsEnable self‐service analytics while maintaining data integrityStakeholder Engagement & EnablementPartner with business leaders to support strategic reporting needsMentor engineering teams on architecture best practicesTranslate complex technical concepts into clear business valueMust‐HaveBachelor's degree in Computer Science, Engineering, or related discipline7–10+ years of experience in software architecture with strong focus on enterprise data and analytics platformsProven experience designing and implementing modern data architectures, including ETL/ELT pipelines, data warehousing, and Lakehouse / medallion patternsStrong data modeling expertise across both operational (normalized) and analytical (dimensional / star schema) modelsExperience building semantic layers and enabling self‐service reporting, preferably with Power BIHands‐on experience with enterprise data platforms such as Microsoft Fabric, AWS data services, or equivalentExperience implementing data governance frameworks, including data quality, lineage, cataloging, and stewardshipExcellent communication skills with the ability to engage both technical teams and business stakeholdersStrategic mindset with the ability to design scalable, long‐term analytics solutions aligned to business decision‐makingNice‐to‐HaveCloud or data certifications (AWS Solutions Architect, AWS Data Analytics Specialty, Microsoft Fabric, Azure Data Engineer, etc.)Experience working within AWS or Microsoft Fabric environmentsFamiliarity with Power BI Copilot or natural language analytics capabilitiesExperience supporting logistics, transportation, or supply chain analytics environmentsBroader experience across cloud architecture or enterprise application architectureScope & ExpectationsThis 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 architectureDefine architectural standards, best practices, and implementation patternsGuide engineering teams through architecture adoptionLead architecture reviews and strategic platform decisionsEnable a self‐service analytics environment while maintaining strong governanceThis individual will play a key role in advancing the organization's overall data maturity and analytics capabilities.Tools & EnvironmentCloud‐based enterprise data environmentMicrosoft Power BI with Copilot capabilitiesMicrosoft Fabric and/or AWS data servicesRelational databases and cloud storage platformsMix of existing ETL, replication, and pipeline technologies undergoing modernization #J-18808-Ljbffr