data engineeringdata scienceazuremicrosoft fabricetleltlakehousedaxdirect lakemedallion architectureci/cddevopsinfrastructure as codeai-assisted developmentcopilotdata governancedata securitydata modelingdata architecturemarketing dataaimachine learning
Key details
Salary
$120K – $235K
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Redmond, United States
Full job description
Microsoft is seeking a Senior Data Engineer to design, develop, and maintain enterprise-scale marketing data products and scalable data pipelines using Microsoft Fabric, Azure, and related technologies. The role involves building AI-ready data platforms to support marketing insights, campaign measurement, and customer analytics. Responsibilities include data architecture ownership, semantic modeling with DAX, data governance, security, CI/CD automation, and collaboration with cross-functional teams. Candidates must have a Master's degree with 3+ years or Bachelor's degree with 4+ years of relevant experience, preferably 5-10 years, with skills in data governance, architecture design, and strong communication. The position is full-time, on-site in Redmond, Washington. Salary ranges from $119,800 to $234,700 annually in the U.S., higher in select metro areas.
What you'll do
Lead design, development, and ownership of enterprise-scale marketing data products
Architect, build, and maintain scalable data pipelines, ETL/ELT frameworks, and Lakehouse solutions
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
Design and implement semantic models, business metrics, and calculations using DAX and Direct Lake
Drive end-to-end ownership of data architecture including modeling, ingestion, transformation, storage, governance, security, and consumption
Partner with Marketing stakeholders, Technical Program Managers, Analysts, Data Scientists, and Product teams
Serve as Subject Matter Expert for assigned marketing data domains ensuring data quality and governance
Build and evolve strategic backlog of data capabilities and platform enhancements
Collaborate with source-system owners to onboard and integrate data from various systems ensuring security and compliance
Develop proof-of-concepts and technical validations for new data sources and AI-powered solutions
Establish and maintain data quality frameworks, observability, monitoring, and operational dashboards
Implement Medallion Architecture patterns and domain-driven data product strategies
Design reusable engineering frameworks and scalable code patterns
Leverage AI-assisted development tools and Copilot capabilities
Review and govern AI-generated code and infrastructure definitions
Drive CI/CD automation, deployment standards, infrastructure-as-code, and DevOps excellence
Partner with Data Architects, Engineering, Operations, and peer developers to establish standards and best practices
Champion data governance, privacy, compliance, and security principles
Mentor and support engineers through technical leadership and knowledge sharing
Influence long-term data strategy and provide recommendations on emerging technologies and platform modernization
Embody Microsoft’s culture and values including growth mindset, customer obsession, collaboration, accountability, diversity and inclusion, and continuous learning
Requirements
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Preferred: Master's Degree and 6+ years experience OR Bachelor's Degree and 8+ years experience OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
Proficient in designing data architectures, data models, and scalable data platforms
Strong analytical skills and ability to evaluate technical trade-offs
Effective cross-team and technical communication skills
Experience managing stakeholder priorities and facilitating cooperative decision-making
Tech stack
Data and AIMicrosoft FabricAzureOneLakeETLELTLakehouseDAXDirect LakeMedallion ArchitectureCI/CDInfrastructure-as-codeDevOpsAI-assisted developmentCopilot
Benefits
Certain roles may be eligible for benefits and other compensation (details at https://careers.microsoft.com/us/en/us-corporate-pay)
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
