Senior Data Engineering Architect, Fabric, Databricks, Snowflake

Avanade

. Provide technical leadership on client projects .

Posted 10/20/2026full-timeUnited StatesSenior💰 $150,400 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Data & AI projects, creating architectural designs, and delivering large-scale data platform solutions. Proficient in translating complex technical concepts into actionable strategies and fostering collaboration across teams.

Highest-signal resume keywords

Technical LeadershipData Platform SolutionsMicrosoft AzureSnowflakeAI Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisData MigrationCloud Scale AnalyticsLakehouseData MeshStreaming DataIoTGenAI

Soft Skills

Verbal CommunicationWritten CommunicationMentoringCollaborationInfluencing

Tools & Technologies

Microsoft Azure Data ServicesDatabricksFabricData & AI InnovationsReporting Solutions

Certifications & Qualifications

Advanced Degree in Computer ScienceApplied MathematicsStatisticsMachine Learning

Industry Keywords

Data GovernanceEnterprise-Scale DataConsultative SalesTechnical SalesCloud Solutions

Tech Stack

Tools & technologies

AzureCloudIoTPythonSQL

About the role

Key responsibilities & impact

Provide technical leadership on client projects
Shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts
Create innovative solutions, estimates, and contractual details for client proposals
Coach and mentor junior colleagues
Translate complex technical concepts into audience-appropriate language and value-based outcomes
Support deal qualification, requirements capture, solutioning, client presentations, negotiations, and Deal Reviews
Collaborate with Data & AI leadership to shape offerings, accelerators, intellectual property, and go-to-market activities
Lead development of data and analytics platforms, real-time intelligence, and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric, Databricks, and Snowflake
Incorporate relevant Data & AI innovations into solutions
Identify and execute cross-industry solutions at scale, including data migration, automation migration, visualization/reporting, and core data platform modernization and governance
Drive growth across the Data & AI Solution Area
Integrate Data & AI with other Global Solution Areas and go-to-market initiatives
Drive managed services and multi-year Data & AI engagements

Requirements

What you’ll need

Excellent hands-on working knowledge of Microsoft Azure and Snowflake
In-depth understanding of structured and unstructured data analysis, streaming data, IoT, AI, GenAI, and related analytics fields
Awareness of go-to-market channels and Microsoft and partner ecosystems
Experience creating technical visions, high-level architectures, and delivery roadmaps for large programs involving AI concepts and enterprise-scale Data & AI
Understanding of responsible data platform and migration principles, practices, and regulatory frameworks
Capability to create design artifacts and present them at architectural forums
Experience designing and delivering large-scale Data Platform solutions using Lakehouse, Data Mesh, Fabric, Cloud Scale Analytics, and similar approaches
Knowledge of architectural characteristics including performance, security, and reliability
Experience leading sales and business development opportunities with clients
Advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning, or equivalent combination of education and experience
Proven success in consultative or complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications
Extensive experience with large complex enterprise accounts, cloud solutions for data estate workloads, and large-scale cloud data projects
Exceptional verbal and written communication skills
Ability to orchestrate, lead, and influence remote teams

Benefits

Comp & perks

Exceptional development and training, including a minimum of 80 hours per year for training and paid certifications
Real-time access to technical and skilled resources globally
Dedicated career advisor
Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off