Microsoft · 18 hours ago
Senior Data Engineer - Digital Marketing & Analytics
Microsoft is a leading technology company focused on empowering individuals and organizations. The Senior Data Engineer – Digital Marketing & Analytics is responsible for implementing and operating Consumer Data Platform data pipelines and layers to support analytics and AI-enabled digital marketing initiatives.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Build data pipelines and curated datasets per CDP architecture and Technical Architect guidelines
Define implementation specs covering mapping, transformation, validation, and dependencies
Maintain analytics- and activation-ready data layers for reporting, segmentation, personalization, and AI
Collaborate with Data Strategist and analytics teams to clarify measurement and AI requirements
Assess feasibility, risks, and methods using available data sources
Flag and recommend solutions for data gaps, quality issues, or dependencies
Integrate necessary first- and third-party data for CDP use cases
Apply standard ingestion and transformation patterns according to governance standards
Structure and document data for analytics and activation
Embed data quality checks, monitoring, and lineage in workflows
Ensure pipelines comply with consent, retention, and privacy mandates
Coordinate with Legal, Privacy, and Governance on new or updated data sources
Oversee pipeline health, including monitoring and root cause analysis
Automate and standardize processes to minimize manual work
Support optimization and scaling of CDP implementations
Operate within a shared ownership model for roadmap, architecture, and delivery
Achieve clarity on data sources, integration and communicate status and risks to both technical and non-technical audiences
Share feedback to guide future architectural decisions
Qualification
Required
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 in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ 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 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
Experience supporting digital marketing, personalization, experimentation, or customer analytics use cases
Experience working with or alongside a Customer Data Platform (CDP), Azure and Fabric Data Factories
Familiarity with identity data concepts and activation workflows
Experience operating within architect-led or strategist-led delivery models
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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