Senior Architect - Data Architecture & Engineering

Solutions Architecture and Technical Leadership

• Lead architecture and technical strategy for Azure modernization and transformation programs that span multiple teams and workstreams.
• Translate client goals into scalable designs that align with business priorities, non-functional requirements, delivery constraints, and program-level outcomes.
• Drive architecture across teams so designs follow shared models, standards, and patterns.
• Collaborate with architects and engineers in other domains to integrate solutions and maintain a cohesive end-to-end architecture.
• Provide ongoing architectural guidance during implementation, including reviews of key designs and code, and define patterns and guardrails that teams can reuse.
• Apply solid engineering practices in your primary domain—modular design, clear interfaces, testability, and observability—so solutions remain robust and maintainable.
• Use AI-assisted tooling to accelerate design, code, tests, documentation, and analysis, and help teams adopt effective practices at program scale.

Delivery and Consulting Excellence

• Lead or co-lead discovery and roadmap work for programs or large workstreams, turning inputs into integrated, testable backlogs with clear non-functional requirements and dependencies.
• Use structured problem solving to clarify scope, dependencies, and risks at program scale, and explain options in terms of value, cost, risk, and time-to-impact.
• Communicate architecture strategy and decisions clearly to technical and non-technical audiences, including executives.
• Build trusted relationships with product, engineering, and technology leaders, and help shape modernization roadmaps in the client’s best interest.
• Provide architecture oversight so designs, interfaces, and integration points support predictable delivery and stable team velocity.
• Align multiple teams on shared outcomes, contracts, and integration points, ensuring dependencies are identified, owned, and tracked through to delivery.
• Help define delivery approaches, working agreements, and documentation practices that keep 3Cloud and client teams aligned across locations and time zones.
• Support effective use of Agile at scale by ensuring architecture and backlog structure enable incremental delivery, clear definitions of done, and data-informed adjustments based on telemetry and feedback.
• Apply a consulting mindset by anticipating client needs, proposing options, and tying solutions to clear results and adoption, and handle challenge and pushback by explaining trade-offs in simple, direct language.

Mentorship and Team Development

• Mentor architects, senior engineers, and technical leads, building their design skills, architectural judgment, and ability to work effectively across systems and teams.
• Provide architectural oversight across teams or workstreams, modeling pragmatic decision-making and showing when to keep solutions simple and when new patterns or technologies are justified.
• Support hiring and growth by participating in technical interviews, calibration discussions, and mentorship, and by helping shape development plans for future architects.

Growth and Innovation

• Contribute to business development by identifying opportunities beyond the current assignment across all our capabilities and assisting the sales director in pursuing them.
• Partner with sales and account leaders on strategic pursuits by setting the technical vision, contributing to solution strategy, and participating in client workshops, demos, and roadmap sessions.
• Create solution options, high-level designs, and estimates for programs, clearly documenting assumptions, dependencies, and risks and tying them back to business value and risk reduction.
• Build and evolve reusable assets—such as reference architectures, runbooks, workshops, starter repositories, and templates—that become standard paths for delivery teams.
• Champion adoption of modern frameworks, patterns, platform capabilities, automation, and AI-assisted tools that improve quality, speed, or reliability in a safe and secure way.
• Actively participate in enablement initiatives, share lessons from complex engagements, and help build a culture of collaboration, continuous improvement, and knowledge sharing.

Requirements

• 10+ years of experience delivering solutions in a primary technical domain.
• 5+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts.
• 8+ years of experience in data engineering, including 4+ years of experience architecting data solutions on Azure.
• Deep expertise in Microsoft Azure with experience with Databricks and/or Fabric.
• Proficiency in Python, PySpark, SQL, and data engineering frameworks.
• Azure DevOps (including building Stories and tasks, and using pipelines and ARM templates for publishing code).
• Knowledge of infrastructure as code, APIs, security, compliance, and master data management.
• Experience optimizing data pipelines, queries, and architectures for performance and cost.
• Proven experience leading architecture and delivery for Azure-based solutions such as modernizations, transformations, or platform build-outs.
• Ability to define solution architectures that connect business goals to scalable technical designs and solid delivery practices.
• Experience leading hybrid and remote teams and maintaining alignment, quality, and predictable delivery across time zones.
• Deep knowledge of core concepts, languages, frameworks, and design patterns in your primary domain, with the ability to apply them at program scale.
• Experience using AI-augmented development and integrating AI or machine learning capabilities into solutions using APIs, frameworks, or cloud-based AI services.
• Experience with Agile or Scrum at scale, including backlog management, work slicing, and dependency handling.
• Experience in consulting or professional services.
• Familiarity with key Azure services relevant to your domain, such as messaging, compute, data, security, networking, and integration.
• Strong analytical and problem-solving skills, with clear written and verbal communication.
• Demonstrated interest in learning new cloud technologies and turning that learning into practical improvements for teams.
• Ability to stay hands-on with architecture and, when needed, implementation while guiding complex cloud solutions across teams.