Principal Architect – Data Platforms & Architecture (SME)

About this role

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you!

At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other.

Principal Architect - Data Platforms & Architecture (SME)

The Principal Architect in Delivery leads architecture for large Azure programs that span applications, platforms, and data. You connect business goals to cloud modernization roadmaps, define architecture frameworks, and guide multi-team execution.

At this level, you act as an organization-wide technical leader. You set technical direction across practices, orchestrate cross-team discovery, keep designs aligned across multiple teams, and turn successful patterns into reusable models. You promote strong engineering, automation, and AI-assisted practices, mentor Senior Architects and Delivery Architects, and help build an inclusive, continuously improving engineering culture while supporting clear investment and modernization decisions for 3Cloud and our clients.

Responsibilities:

Solution Architecture and Technical Leadership • Lead architecture and technical strategy for large Azure programs and portfolios so solutions meet client goals for value, security, scalability, reliability, performance, and cost. • Define modernization blueprints and reference architectures across applications, platforms, and data, including system and subsystem designs, patterns, and standards that simplify delivery and operations over time. • Translate business and product strategy into cloud architecture roadmaps and execution plans that drive measurable outcomes and adapt based on production feedback and telemetry. • Guide major architecture decisions across programs, promote shared design standards and reusable models, and resolve high-impact technical trade-offs. • Work across teams to connect solutions into cohesive end-to-end architectures with clear ownership boundaries and integration contracts. • Provide architectural oversight during delivery through design reviews, forums, and governance, keeping cross-cutting concerns (security, performance, resilience, availability, compliance, observability, and cost) aligned across teams. • Promote modular design, clear boundaries, testability, CI/CD, and observability so non-functional requirements are treated as first-class and systems remain reliable and maintainable. • Use AI tools to accelerate discovery, design, code, tests, documentation, and analysis, and scale successful practices so teams adopt them consistently. • Own architectural standards for lakehouse, streaming, and AI-enabled data platforms. • Guide large-scale Databricks implementations, including multi-region deployments. • Expert knowledge of Data Management, Business Intelligence and Analytics concepts including: • Data Movement (ETL/ELT). • Data Warehousing (Designing and Implementing, Azure SQL, Synapse). • Azure Storage Technologies (Data Lake, Blob Storage). • Data Governance (including Data Quality and Profiling, Master Data Management, and Metadata Management). • Business Intelligence, including Reporting and Visualizations (Key Performance Indicators (KPI), and Scorecards). • Predictive, Prescription, and Descriptive Analytics. • Expert knowledge of Microsoft Azure technologies. • Azure DevOps (including building Stories and tasks, and using development pipelines and ARM templates for publishing code).

Delivery and Consulting Excellence:

• Lead or co-lead executive and senior stakeholder conversations on cloud modernization, platform strategy, AI adoption, and program roadmaps. • Use structured problem solving to clarify scope, dependencies, risks, and trade-offs, and shape delivery plans that balance value, cost, speed, and long-term system health. • Set discovery strategy so program objectives flow into a clear, traceable backlog tied to architecture and business outcomes. • Explain complex architecture and modernization strategies in clear language for executives, business leaders, and technical teams, including options, trade-offs, and recommendations. • Build trusted relationships with technology and business leaders, influencing priorities and investment decisions in ways that help mature their engineering and architecture practices. • Run structured decision-making forums (such as architecture reviews or steering committees) that produce clear decisions, documented rationale, and actionable next steps. • Define architecture, discovery, and delivery frameworks and working agreements that support predictable, incremental delivery across multiple teams and time zones, including cadences, artifacts, escalation paths, and hybrid delivery guidelines. • Align teams on shared outcomes, APIs, integration contracts, and operating models, ensuring crossteam dependencies are identified early, owned, and tracked through to completion. • Support effective use of Agile methods at program scale so architecture, backlogs, and release plans support meaningful increments, stable team velocity, low defect escape, clear definitions of done, and course corrections based on telemetry and feedback. • Track risks, technical debt, quality trends, and architectural drift across teams, and recommend adjustments that keep programs on track while balancing short-term delivery needs with long-term system health. • Suppo

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