3Cloud - Director - Data Platforms & Architecture

• 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. • Support cross-practice opportunity qualification and estimating using playbooks, benchmarks, and templates so the organization focuses on high-fit pursuits and improves proposal quality and confidence in value, risk, and margin. • Mentorship and Team Development• Mentor Senior Architects, Delivery Architects, and senior engineers, helping them grow systems thinking, architectural judgment, cross-team awareness, and their ability to lead multi-team initiatives.• Provide architectural oversight across programs, modeling pragmatic decision-making, including when to keep solutions simple, when to standardize, when to extend patterns, and when to introduce new technologies. • Help shape career paths and development plans for architects by clarifying expectations for operating at program scale and providing concrete examples of what “good” looks like. • Create and maintain high-leverage learning assets—such as reference implementations, architecture decision records, playbooks, and mentoring guides—that accelerate onboarding and skill growth. • Support hiring, calibration, and talent development by defining interview standards, participating in senior-level interviews and promotion reviews, and training others to apply those standards consistently. • Set a high bar for executive-ready communication and storytelling, and coach others so their narratives support clear decisions and strengthen client trust. • Help build a culture of psychological safety, inclusion, constructive feedback, and continuous improvement within and across teams, and support new ways of working that endure beyond a single project. • Growth and Innovation• Grow the company by identifying opportunities within your accounts across all our capabilities and pursuing them with the support of the account team.• Intentionally build executive relationships within accounts to expand our partnership and create opportunities to provide strategic value.• Drive sales opportunities by participating in pursuit teams as either the Pursuit Lead or Technical Solution Lead.• Partner with sales, account, and practice leaders to shape technical strategy for strategic pursuits, projects and/or programs.• Lead the creation of solution options, program-level architectures, and estimates, clearly documenting assumptions, dependencies, and risks and explaining how proposed approaches drive business value and reduce risk. • Operate as a senior technical advisor whose guidance shapes multi-track initiatives and supports long-term account growth. • Identify follow-on and adjacent opportunities—such as platform extensions, additional modernization waves, AI-enabled capabilities, or data estate modernization—that align with client strategies and 3Cloud’s strengths. • Define and evolve reusable assets—such as reference architectures, modernization playbooks, landing zone templates, workshops, accelerators, and starter repositories—that become standard patterns for delivery teams and reduce cycle time and rework while honoring architectural and nonfunctional requirements. • Champion adoption of modern frameworks, cloud platform capabilities, automation practices, and AIassisted tools in a responsible and secure way, using pilots and experiments with clear success criteria to turn innovation into stable, repeatable practice. • Contribute to internal cross-practice initiatives that share patterns and lessons from large programs and reinforce our credibility with clients and partners. • Shape enablement programs that grow capabilities and reusable assets across accounts and package applied innovation into offerings and assets used in delivery and pursuits. • Requirements• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field preferred• 12+ years of experience delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise scale. • 7+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts at program scale. • 10+ years of experience in data platforms, data engineering, or consulting.• Deep architectural expertise with Databricks, including Spark optimization, Delta Lake, and workload design.• Strong understanding of Azure-native data services and cloud architecture.• Proven experience in architecting and implementing solutions using Microsoft technologies. • Proven experience leading architecture and delivery for Azure-based modernization, transformation, AI, or platform programs at enterprise scale. • Experience defining solution and platform architectures that connect business strategy with scalable technical design, strong delivery practices, and measurable outcomes. • Experience leading hybrid and remote teams and working with multiple stakeholders across time zones while maintaining alignment, quality, and predictable delivery. • Deep understanding of core concepts, languages, frameworks, and design patterns in a primarydomain, with the ability to apply them at system and program scale. • Experience designing and integrating quality, automation, and observability practices at scale, including automated testing strategies and embedding quality checks into delivery workflows. • Experience using AI-augmented development and integrating AI and machine learning capabilities into solutions (for example, using APIs, frameworks, or cloud-based AI services and tools for code, test, and documentation acceleration). • Significant experience working in Agile or Scrum environments at scale, including backlog structuring, dependency management, integration planning, and release management. • Proven success in consulting or professional services, including client-facing leadership and executive engagement. • Familiarity with key Azure services used in modern solutions that are relevant to your domain (for example, messaging, compute, data, security, networking, management, and integration services). • Strong analytical and problem-solving skills, with strong presentation, written, and verbal communication skills for both technical and business audiences. • Commitment to continuous learning in cloud, data, and AI, with the ability to turn that learning into practical improvements for teams and clients. • Ability to foster culture, inclusion, and community participation across the organization in ways that support rapid cross-team collaboration.