Microsoft · 17 hours ago
Data Architect - Partner Engineering Platform (PEP) Reporting
Redmond,Washington,United States
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is seeking a Data Architect for their Partner Engineering Platform (PEP) Reporting team, which focuses on providing telemetry insights to improve device reliability and enhance the Windows customer experience. In this role, you will design and maintain large-scale distributed data platforms, define architecture patterns, and collaborate with various teams to deliver AI-powered reporting solutions.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Architect, design, and maintain distributed data platforms supporting OEM telemetry, reliability analytics, compliance signals, and AI-driven data products
Establish end-to-end data architecture patterns for ingestion, curation, enrichment, aggregation, and publication across Microsoft Kusto clusters, Azure Cosmos DB, Azure Data Lake/Lakehouse, and COSMOS streaming and parquet-based pipelines
Own schema modeling, partitioning strategy, indexing, caching, and performance tuning for largescale structured, semi structured, and timeseries datasets
Develop architectural blueprints enabling real-time or near real-time****slicing**, filtering, and aggregation across billions of records to support AI Agents, partner facing dashboards, and internal engineering workflows
Drive availability, resiliency, cost optimization, and governance across high-scale data workloads, ensuring SLAs and SLOs for mission critical reporting pipelines
Partner with engineering teams to establish best practices for data quality, observability, lineage, security, and access patterns, including RBAC and compliant handling of sensitive telemetry
Guide engineers in building scalable data ingestion and transformation pipelines using Microsoft data plane technologies, including KQL-based ETL, parquet transformations, and high throughput telemetry streams
Collaborate closely with PEP TPMs on roadmap definition, platform migrations, and data driven initiative planning
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
5+ years of experience designing and architecting distributed data systems or analytics platforms
Deep experience with Microsoft data technologies—including: Microsoft Kusto (ADX) clusters and advanced KQL (query optimization, partitioning, ingestion mapping, materialized views, update policies)
Azure Data Lake / Lakehouse / Data Stores (Delta/Parquet, hierarchical partitioning, metadata and schema management)
Demonstrated success tuning and optimizing large-scale analytical systems for performance, reliability, and availability
Strong expertise in designing data models, distributed query patterns, and ingestion strategies for datasets larger than 5 billion records
Experience architecting real-time analytics solutions, including latency-aware data structures enabling sub-second slicing/aggregation for dashboards or AI Agents
Proficiency with data security, privacy, governance, and compliance best practices for enterprise data systems
Ability to drive architectural decisions across organizations and influence engineering teams toward scalable, long-term data strategies
Experience with Azure Cosmos DB (Core/SQL, API design, partitioning, RU optimization, change feed)
Experience with COSMOS-to-Kusto patterns, parquet compaction strategies, or high-fidelity telemetry pipelines supporting reliability and health signals
Familiarity with AI/ML operationalization, vectorized data flows, or embedding augmented analytics pipelines
Experience leading large data architecture initiatives in cloud-scale environments
Excellent communication, executive facing storytelling, and cross functional collaboration skills especially in data-driven engineering organizations like WECE, Data Sciences, DSQ, WATSON, and Windows Fundamentals Reliability
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
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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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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