below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$155,795–$226,350
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Principal Data Engineering Architect joins the Marketing Data Engineering Team to lead the architecture and hands-on development of petabyte-scale systems processing billions of daily events. This individual contributor role involves shaping team strategy, designing solution architectures, and building production code for marketing data products. You will develop logical, physical, and semantic models for marketing domains, designing distributed processing and storage using streaming and batch patterns. Key responsibilities include productizing engagement signals, managing schema evolution, and embedding security and privacy by design. You will utilize SQL, programming languages, and the Microsoft Fabric ecosystem to transform raw data into AI-ready products. The role solves the challenge of converting complex web, campaign, and sales signals into trusted data for customer intelligence and multi-channel engagement measurement.
Lead the architecture and hands-on development of petabyte-scale systems processing billions of daily events.
Partner with business users to translate customer needs into reusable data capabilities and prioritized product strategies.
Build hands-on prototypes and contribute production code while ensuring operational reliability and measurable outcomes.
Develop logical, physical, and semantic models for foundational marketing domains to ensure clear data definitions.
Design distributed processing and storage using streaming and batch patterns with a focus on latency and cost.
Embed security, privacy, and data quality by design, including lineage, classification, and policy-aware access.
Advance AI automation for data transformations, testing, and self-service data extension.
Mentor engineers and align partner teams through technical leadership and the establishment of shared standards.
What we're looking for
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 4+ years of relevant experience.
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 6+ years of relevant experience.
Equivalent experience to the degree and years of experience requirements.
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 8+ years of relevant experience (preferred).
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 12+ years of relevant experience (preferred).
3+ years of experience with data governance, data compliance, and/or data security (preferred).
8+ years of software development lifecycle experience, including 2+ years as a technical lead for large-scale data platforms (preferred).
Expertise in distributed big-data processing, streaming, batch systems, data modeling, SQL, and a programming language (preferred).
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