Job description

JourneyTeam's Data & AI Solutions practice is growing, and we're looking for a hungry, humble, and smart Solution Architect (Data & Analytics) to join our world-class team. This is a great opportunity for someone with 8+ years of experience who's ready to take the next step-building modern Microsoft data solutions and working directly with clients. If you're passionate about solving real business problems with data and want to be part of a collaborative, values-driven team, we'd love to hear from you. As a Solution Architect working on Data & Analytics, you will be a thought leader and trusted advisor to our clients, driving innovation, technical excellence, and measurable business outcomes. You will own the design and oversight of complex, enterprise-scale data solutions within the Microsoft ecosystem, while mentoring team members and shaping JourneyTeam's Data & Analytics practice. Collaborate with data engineers, developers, and architects to design and implement modern data solutions using Microsoft technologies. About JourneyTeam: At JourneyTeam, people are at the center of everything we do. Our purpose as a company is to help others effectively use technology to create a positive, lasting impact on the world. With 30 years of technology experience, we are 100% focused on delivering Microsoft business applications and technologies that empower organizations to reach new heights of business success. We deeply understand the transformative value of Microsoft solutions and are dedicated to helping our customers unlock their full potential. Our experienced team specializes in driving success across Dynamics 365, Microsoft 365, AI and Copilot, Azure, modern data solutions-all leveraging Microsoft's comprehensive security platform. Key Responsibilities: Strategic Architecture & Design • Lead the design and implementation of scalable, future-ready data architectures aligned with client business priorities. • Define and promote architecture standards, patterns, and best practices (e. g. , medallion, lakehouse, warehouse/lake integration, governance, lifecycle management). Client Engagement & Advisory • Engage directly with executive stakeholders and technical teams to translate business needs into actionable data strategies. • Serve as a trusted advisor throughout the solution lifecycle-from discovery to delivery. Delivery Oversight & Hands-On Contribution • Oversee implementation of data engineering solutions, ensuring quality, scalability, and alignment with enterprise architecture principles. • Build and configure data pipelines, models, and analytics solutions using Azure technologies-acting as both architect and contributor. Practice Leadership & Mentorship • Mentor and coach architects, engineers, and consultants to foster technical excellence and leadership across the Data & Analytics practice. Influence the practice roadmap, service offerings, and accelerators. Pre-Sales & Thought Leadership • Support sales cycles through architecture assessments, solution positioning, and client workshops. • Represent JourneyTeam in the Microsoft partner ecosystem-participating in conferences, webinars, and community events. Technology Advocacy • Stay ahead of Microsoft's evolving Data & Analytics platform (Azure, Fabric, Databricks, Synapse, SQL, Power BI). • Advocate for adoption of emerging capabilities and guide clients through modernization efforts. Qualifications: • 8+ years of progressive experience in data architecture, data engineering, or related fields, including 5+ years architecting enterprise-scale solutions on Microsoft Azure. • Experience designing and optimizing systems for high-volume, high-velocity, and complex data (batch and real-time). • Deep expertise with Azure data services including: Data Factory, ADLS, Synapse Analytics, Databricks, Azure SQL Database, Logic Apps, Event Hubs, Stream Analytics, and Microsoft Fabric. • Mastery of SQL, dimensional modeling (star/snowflake schemas), and modern data architecture patterns (lakehouse, medallion, data mesh, data governance). • Hands-on experience leading data engineering teams building ingestion pipelines, orchestration workflows, and large-scale integrations. • Strong coding proficiency in SQL and Python, with the ability to guide and review complex codebases. • Familiarity with AI/ML integration, analytics adoption, and enterprise-scale Power BI deployments. • Demonstrated success in client-facing leadership roles-consulting, solutioning, and delivering enterprise data transformation programs. • Exceptional communication and executive presence; able to translate technical complexity into business value. • Embrace and live the JourneyTeam Values: • A Caring Mindset • Exceptional Performance • Being OneTeam • Making & Keeping Commitments • Taking Ownership • Effective Communication • A Growth Mindset Certification Requirements: Applicants for the Solution Architect role must have the following certifications or a plan to attain them within the first year of employment: • DP-900: Microsoft Azure Data Fundamentals • Certification: DP-700 Microsoft Fabric Data Engineer Associate • Certification: DP-600 Microsoft Fabric Analytics Engineer Associate Preferred Skills and Certifications (not required): • Experience designing real-time or near-real-time analytics pipelines using tools such as Azure Stream Analytics, Event Hubs, or Kafka. • Hands-on experience with Azure Databricks, including building and orchestrating Spark-based data pipelines and notebooks for large-scale data processing. • Experience with Microsoft Purview for data governance and cataloging. • Familiarity with project delivery methodologies including Agile/Scrum, Kanban, Waterfall, and hybrid approaches. • Knowledge of change management practices to support Data & Analytics adoption. • Experience delivering projects involving Power BI, AI/ML adoption, or advanced analytics. • Exposure to Dynamics 365, specifically Project Service Automation or Project Operations. • Experience with Azure DevOps for project tracking, CI/CD, and collaboration. Pathway to Success: 30-Days: • Review foundational resources to align with JourneyTeam's architecture and modeling standards: • Deciphering Data Architectures by James Serra • The Data Warehouse Toolkit by Ralph Kimball • Build relationships across the Data & AI practice, initiating mentorship through shadowing and knowledge exchange. • Engage in active client shadowing, observing executive meetings, workshops, and solution design sessions to understand delivery rhythm and stakeholder dynamics. • Begin contributing to an active client engagement, offering architectural guidance during solution design reviews and supporting technical decision-making. 6-Mo.

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