Senior Architect - Data Platforms & Architecture

3Cloud

About The Position

The Senior Architect in Delivery leads architecture and technical direction for multi-team Azure programs spanning applications, platforms, and data. The role connects client goals to scalable designs, guides delivery across teams, and shapes modernization work to achieve measurable results. The Senior Architect influences architecture beyond a single project by setting direction across engagements, working with business and technology leaders, raising delivery quality, and promoting reusable patterns. The role includes mentoring architects and senior engineers, supporting strategic pursuits, and turning working solutions into repeatable delivery models.

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 architecting data solutions on Azure.
Deep expertise in Microsoft Azure and experience with Databricks and/or Fabric.
Proven ability to design and implement modern data architectures, including data lakes, data warehouses, lakehouses, data mesh, and streaming pipelines.
Proficiency in Python, PySpark, SQL, and data engineering frameworks.
Experience with Azure DevOps, including building stories and tasks and using pipelines and ARM templates to publish 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 modernizations, transformations, or platform build-outs.
Ability to define solution architectures connecting business goals to scalable technical designs and sound 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 the 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 Azure services relevant to the domain, such as messaging, compute, data, security, networking, and integration.
Strong analytical and problem-solving skills and clear written and verbal communication.
Demonstrated interest in learning new cloud technologies and turning that learning into practical improvements for teams.
Ability to remain hands-on with architecture and, when needed, implementation while guiding complex cloud solutions across teams.

Responsibilities

Lead architecture and technical strategy for Azure modernization and transformation programs spanning multiple teams and workstreams.
Translate client goals into scalable designs aligned with business priorities, non-functional requirements, delivery constraints, and program-level outcomes.
Drive consistent architecture across teams using shared models, standards, and patterns; collaborate with other architecture and engineering domains to maintain cohesive end-to-end solutions.
Guide implementation through architectural reviews of key designs and code, and define reusable patterns and guardrails.
Apply sound engineering practices in the primary domain, including modular design, clear interfaces, testability, and observability.
Use AI-assisted tools to accelerate design, code, tests, documentation, and analysis, and help teams adopt effective practices at program scale.
Lead or co-lead discovery and roadmap work, translating inputs into integrated, testable backlogs with clear non-functional requirements and dependencies.
Clarify program-level scope, dependencies, and risks, 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 client-focused modernization roadmaps.
Provide architecture oversight so designs, interfaces, and integrations support predictable delivery and stable team velocity.
Align teams on shared outcomes, contracts, and integration points; ensure dependencies are identified, owned, and tracked through delivery.
Define delivery approaches, working agreements, and documentation practices that align 3Cloud and client teams across locations and time zones.
Support effective Agile at scale by enabling incremental delivery, clear definitions of done, and data-informed adjustments based on telemetry and feedback.
Anticipate client needs, propose options, connect solutions to results and adoption, and explain trade-offs clearly when handling challenge or pushback.
Mentor architects, senior engineers, and technical leads in design skills, architectural judgment, and cross-system collaboration.
Provide architectural oversight across teams or workstreams, modeling pragmatic decisions about simplicity and the use of new patterns or technologies.
Participate in technical interviews and calibration discussions, mentor team members, and help shape development plans for future architects.
Identify business-development opportunities across 3Cloud capabilities and assist the sales director in pursuing them.
Build relationship networks within client accounts to deepen partnerships and identify opportunities to provide additional business value.
Partner with sales and account leaders on strategic pursuits by setting technical vision, shaping solution strategy, and participating in client workshops, demos, and roadmap sessions.
Create solution options, high-level designs, and program estimates, documenting assumptions, dependencies, and risks and connecting them to business value and risk reduction.
Build and evolve reusable delivery assets such as reference architectures, runbooks, workshops, starter repositories, and templates.
Champion modern frameworks, patterns, platform capabilities, automation, and AI-assisted tools that safely and securely improve quality, speed, or reliability.
Participate in enablement initiatives, share lessons from complex engagements, and promote collaboration, continuous improvement, and knowledge sharing.