Principal Architect - Data Platforms & Architecture

Role overview Lead customer data strategy and architecture engagements, turning business objectives and current-state findings into practical platform designs and roadmaps. The work spans advisory, solution design, and delivery leadership, with a focus on modern data platforms built with Azure technologies. You’ll work directly with customer executives and technical teams, while coaching delivery teams and helping shape data practice capabilities.

Responsibilities - Facilitate discovery workshops, interviews, and assessments to understand business goals, data needs, and current capabilities. - Develop data strategies, target architectures, roadmaps, business cases, and design documents grounded in customer requirements. - Lead data engagements and delivery teams, maintaining solution quality and customer satisfaction. - Design scalable data movement, storage, warehousing, analytics, reporting, and governance approaches. - Build trusted relationships with stakeholders, explain technical options in business terms, and support executive decisions. - Mentor colleagues, share emerging practices, and use delivery insights to improve offerings and recommendations.

Requirements - At least 10 years of experience in data and analytics, including database design and architecture; the source also specifies a minimum of five years in database architecture and two years with Azure. - Consulting experience and a record of leading customer-facing strategy or architecture work. - Strong knowledge of data management, ETL/ELT, data warehousing, governance, quality, metadata, and business intelligence. - Hands-on expertise across Azure data services, including SQL Server, Data Factory, Databricks, Synapse, Cosmos DB, Data Lake or Blob Storage, Power BI, and Microsoft Fabric. - Understanding of analytics, reporting, data models, and business process improvement. - Strong workshop facilitation, analytical problem-solving, communication, relationship-building, and team leadership skills.

Nice to have - A degree in computer science, information technology, or a related field. - Familiarity with Azure DevOps, infrastructure architecture, data science tools, machine learning, or custom Power BI visualizations.

Benefits and work setup Virtual-first work with flexible location. Benefits listed include a 401(k) match, paid time off and holidays, medical, dental and vision options, life and disability coverage, parental leave, spending or savings accounts, a home office allowance, and potential bonus eligibility.