Senior Data Engineer – Marketing Data

Microsoft; Washington; Hybrid; USD 120,000 - 235,000; Full time

Job summary

Microsoft seeks a Senior Data Engineer to lead enterprise-scale marketing data products. You will design, build, and own scalable pipelines using Fabric, Azure, and OneLake to deliver AI-ready data for campaigns and measurement.

You will model semantic layers and metrics, ensure data governance and security, and drive data quality with observability dashboards for reliable delivery across teams.

Qualifications

• Bachelor's degree in Computer Science, Math, Software/Computer Engineering or related field.
• 2+ years in data governance, data compliance, or data security; 4+ years in analytics or data engineering preferred.
• Design data architectures and scalable data platforms to translate user scenarios into robust technical solutions.
• Strong analytical and problem-solving skills; ability to justify trade-offs with data-informed decisions.
• Excellent cross-team communication and stakeholder management across technical and non-technical audiences.

Responsibilities

• Lead the design, development, and ownership of enterprise-scale marketing data products.
• Architect, build, and maintain scalable data pipelines and modern Lakehouse solutions.
• Model semantic layers, business metrics, measures, and calculations for trusted marketing insights.
• Drive end-to-end data architecture, governance, security, and data lifecycle considerations.
• Establish data quality, observability, monitoring, and dashboards for reliable delivery.

Skills

Data architecture

Data modeling

Analytics

Cross-team communication

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Master's degree with 6+ years of relevant experience

Tools

Microsoft Fabric

Azure

Purview

OneLake

Direct Lake

Job description

Senior Data Engineer | Microsoft

The Tone:

This is a full-time role at Microsoft, located in various locations across the US. Microsoft empowers innovators to collaborate, envision possibilities, and advance their careers. This role is crucial for transforming Microsoft’s Marketing organization using Data and AI, creating a “Frontier Organization” that drives impact at an unprecedented scale. As part of the Global Marketing Data Engineering team, you will build cutting-edge data platforms that process billions of demand signals, enabling personalized customer journeys, media innovation, and high-impact campaigns, directly contributing to advanced technologies like Purview and Fabric.

The TL;DR

• Role: Full Time
• Location: Various Locations in the US
• Pay: $119800–$234700 yearly
• Team: Global Marketing Data Engineering team
• Mission: This role enables Microsoft’s Marketing organization to transform raw data into trusted, scalable, AI-ready data products that fuel campaign performance measurement, customer intelligence, audience engagement, revenue growth, and executive decision-making through the Microsoft Fabric ecosystem.
• Tech Stack: Microsoft Fabric, Azure, OneLake, DAX, Direct Lake, Purview, Copilot capabilities, CI/CD, Infrastructure-as-code, DevOps

What You’ll Actually Do

• Lead: Lead the design, development, and ownership of enterprise-scale marketing data products that power commercial and consumer marketing insights.
• Build: Architect, build, and maintain scalable data pipelines, ETL/ELT frameworks, and modern Lakehouse solutions using Microsoft Fabric, Azure, and OneLake.
• Model: Design and implement robust semantic models, business metrics, measures, and calculations using DAX and Direct Lake to establish a trusted source of truth for marketing performance.
• Govern: Drive end-to-end ownership of data architecture, including data modeling, ingestion, transformation, storage, governance, security, and consumption patterns across the data lifecycle.
• Ensure Quality: Establish and maintain comprehensive data quality frameworks, observability solutions, monitoring systems, and operational dashboards that proactively identify issues and ensure reliable data delivery.

The Must-Haves

• Background: Senior-level role requiring a Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field, with a focus on business analytics, data science, software development, data modeling, or data engineering.
• Experience: Minimum 4+ years of professional experience in business analytics, data science, software development, data modeling, or data engineering, including 2+ years of experience with data governance, data compliance, and/or data security.
• Skills:
  • Proficiency in designing data architectures, data models, and scalable data platforms that translate user scenarios into dependable technical solutions.
  • Demonstrated analytical skills and problem understanding, with the ability to evaluate technical trade-offs and make responsible, data-informed decisions.
  • Effective cross-team and technical communication skills, including the ability to explain complex architecture and data concepts clearly to technical and non-technical stakeholders.
  • Experience managing stakeholder priorities, facilitating cooperative decision-making, and resolving conflicts across interconnected teams to support delivery and business outcomes.
• Bonus: A Master’s Degree with 6+ years of relevant experience, or a Bachelor’s Degree with 8+ years of relevant experience.