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 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 organization's 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