FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Microsoft Azure architecture and data engineering, with a strong focus on scalable solutions and modernization strategies. Proven ability to lead multi-team efforts, mentor technical staff, and communicate effectively with diverse stakeholders.
Highest-signal resume keywords
Microsoft Azure ExpertiseData Engineering SolutionsSolution Architecture LeadershipAgile MethodologiesAI-Augmented Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPySparkSQLData LakesData WarehousesData MeshStreaming PipelinesInfrastructure as CodeAPIsMaster Data Management
Soft Skills
Analytical SkillsProblem-SolvingClear CommunicationMentoringRelationship Building
Tools & Technologies
Azure DevOpsDatabricksARM TemplatesAI-Assisted ToolsCloud-Based AI Services
Industry Keywords
ModernizationTransformationAgile at ScaleConsultingProfessional Services
Tech Stack
Tools & technologiesAzureCloudPySparkPythonSQL
About the role
Key responsibilities & impact- Lead architecture and technical strategy for multi-team Azure modernization and transformation programs across applications, platforms, and data
- Translate client goals into scalable designs aligned with business priorities, non-functional requirements, delivery constraints, and program outcomes
- Drive shared architecture models, standards, patterns, interfaces, and integration across teams
- Provide architectural guidance during implementation, including design and code reviews, reusable patterns, and guardrails
- Use AI-assisted tooling for design, code, tests, documentation, and analysis, and help teams adopt effective practices
- Lead or co-lead discovery and roadmap work, converting inputs into integrated, testable backlogs with clear requirements and dependencies
- Clarify scope, dependencies, risks, value, cost, and time-to-impact at program scale
- Communicate architecture strategy and decisions to technical and non-technical audiences, including executives
- Build trusted relationships with product, engineering, and technology leaders and shape modernization roadmaps
- Provide architecture oversight to support predictable delivery and stable team velocity
- Align teams on shared outcomes, contracts, and integration points and track dependencies through delivery
- Define delivery approaches, working agreements, and documentation practices across locations and time zones
- Support Agile at scale through architecture and backlog structures that enable incremental delivery and data-informed adjustments
- Mentor architects, senior engineers, and technical leads and support hiring, calibration, and development planning
- Contribute to business development, strategic pursuits, client workshops, demos, and roadmap sessions
- Create solution options, high-level designs, estimates, and documentation tied to business value and risk reduction
- Build reusable assets such as reference architectures, runbooks, workshops, starter repositories, and templates
- Champion modern frameworks, patterns, platform capabilities, automation, and AI-assisted tools
- Participate in enablement initiatives and share lessons from complex engagements
Requirements
What you’ll need- 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, with experience with Databricks and/or Fabric
- Experience designing and implementing 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 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 modernizations, transformations, or platform build-outs
- Ability to define solution architectures connecting business goals to scalable technical designs and delivery practices
- Experience leading hybrid and remote teams across time zones
- Deep knowledge of core concepts, languages, frameworks, and design patterns in a primary domain, applicable at program scale
- Experience using AI-augmented development and integrating AI or machine learning capabilities 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, including 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 applying them practically
- Ability to remain hands-on with architecture and implementation when needed
- Applicants must not require employer-sponsored work visas
Benefits
Comp & perks- 3Cloud states it is dedicated to building a diverse, inclusive, and authentic workplace
- Opportunity for growth
- Mentorship and development opportunities through mentoring, technical interviews, calibration discussions, and development plans
- Opportunities to participate in enablement initiatives, knowledge sharing, and continuous improvement
- Remote work arrangement
