Architect - Analytics

The Architect in Delivery is a hands-on technical lead for cloud solutions. You design and deliver secure, 
scalable, and maintainable systems on Azure that solve real business problems. You own end-to-end 
architecture for your projects, stay close to implementation where it matters, and work with teams to meet 
goals for value, security, performance, reliability, and cost.

At this level, you lead solution design in your primary domain, guide engineers day to day, and mentor other 
architects and technical leads. You turn business needs into clear technical plans, help teams make good 
tradeoffs, and keep delivery predictable and high quality.

Responsibilities

Solution Architecture and Technical Leadership

• Own end-to-end architecture and scope for your projects, leading teams to design and deliver Azure 
solutions that meet agreed goals for value, security, scalability, reliability, performance, and cost. 
• Serve as the technical lead and subject matter expert on your engagements, guiding consultants and 
engineers so implementation stays aligned with the architecture and standards. 
• Apply sound engineering practices—clear interfaces, modular design, and testability—to produce 
reliable, maintainable solutions in your primary domain. 
• Provide architectural guidance throughout implementation, including design and pull-request reviews, 
shaping cloud patterns and guardrails and offering practical options to unblock teams. 
• Use AI tools to accelerate code, tests, documentation, and similar tasks, and share effective practices 
so they become repeatable gains for teams and clients.
• Design advanced semantic models using star schemas, DAX, and Power Query.
• Advise clients on Power BI architecture, governance, and deployment strategies.
Delivery and Consulting Excellence
• Lead discovery and requirements sessions for your workstreams, clarifying scope, dependencies, 
and risks, and shaping a prioritized backlog with clear acceptance criteria tied to business outcomes. 
• Explain complex technical topics in simple, direct language for both technical and non-technical 
audiences, and consistently connect technical decisions back to client goals. 
• Build trust with managers and product owners, influencing priorities and roadmaps in ways that 
support the client’s long-term interests. 
• Enable teams to deliver with stable velocity and low defect rates by providing clear architecture, 
interfaces, and automation across build, test, and deployment, and by designing for incremental 
delivery with a clear Definition of Done. 
• Align multiple teams on shared outcomes, contracts, and integration points, ensuring dependencies 
are identified early, owned, and tracked through delivery. 
• Support effective Agile practices by ensuring the architecture and backlog structure enable 
incremental delivery, a clear Definition of Done, and data-informed course corrections based on 
telemetry and feedback.

Mentorship and Team Development

• Mentor others through pairing, design reviews, and clear feedback that strengthens design skills, 
technical judgment, and confidence, with a particular focus on senior engineers and technical leads. 
• Provide architectural oversight across teams or workstreams, modeling pragmatic decision-making 
and teaching others when to keep designs simple and when to introduce new patterns or 
technologies. 
• Support hiring and growth by participating in technical interviews, calibration discussions, and crossproject mentorship.
Growth and Innovation
• Contribute to business development by identifying opportunities across all our capabilities (beyond 
own specialty) and communicating them to the sales director.
• Partner with sales and account leaders on pursuits by defining the cloud vision, contributing 
architectural viewpoints, and participating in client workshops, demos, and roadmap discussions. 
• Produce solution options, high-level designs, and estimates in your domains, clearly documenting 
assumptions, dependencies, and risks and explaining how proposed approaches drive business 
value and reduce risk. 
• Create and maintain reusable assets—such as runbooks, workshops, starter repositories, and 
templates—that make it easier for engineers to deliver consistent solutions. 
• Champion modern frameworks, patterns, tools, and AI-assisted practices that improve quality, speed, 
or reliability in a secure and responsible way. 
• Actively participate in enablement efforts that support a culture of collaboration, continuous 
improvement, and knowledge sharing.

Requirements

• Bachelor’s degree in Analytics, Information Systems, Computer Science, Business, or related field.
• 6+ years of experience delivering solutions in a primary domain such as application development, 
cloud platform engineering, DevOps, or data and analytics. 
• 3+ years of experience in solution architecture and leading development or engineering teams. 
• 7+ years of experience in business intelligence, analytics, or 5+ in consulting.
• Deep expertise in Power BI, including:
• Enterprise report and dashboard design.
• Advanced DAX, M, and PowerQuery skills and performance optimization experience.
• Power BI Service administration and deployment pipelines.
• Deploying cloud-based solutions using Microsoft Azure data services including Azure Data Factory, 
Azure Data Lake, and Azure SQL DB.
• Power BI tenant and workspace management to support development, testing and deployment.
• Experience with analytics and custom visualizations for Power BI using Python, R.
• Strong SQL skills and experience optimizing analytical queries.
• Proven experience leading hybrid and remote teams and maintaining alignment, quality, and 
predictable delivery across time zones. 
• Expertise in at least one major public cloud platform, with Azure strongly preferred. 
• Deep understanding of core concepts, languages, frameworks, and design patterns in your primary 
domain, with the ability to apply them to build robust, maintainable systems. 
• Experience using AI-augmented development and integrating AI or machine learning capabilities into 
solutions through APIs, libraries, or cloud-based AI services. 
• Experience working in Agile or Scrum environments, including backlog refinement and iteration 
planning. 
• Experience in consulting or professional services is a plus. 
• Familiarity with key cloud services for 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 continuous learning and adoption of new cloud technologies. 
• Ability to be hands-on with implementation while also designing and communicating complex cloud 
architectures