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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Principal Full Stack Engineer - Analytics Platform

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted February 01, 2026
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Job Description

Titan is Microsoft’s self-serve analytics platform, powering millions of queries monthly on trillions of rows of data across Bing, MSN, Edge, Windows, Copilot, and more. Titan democratizes data by putting trusted insights at everyone’s fingertips, cutting time to decision from days to seconds. From dashboards and advanced analytics to AI assisted experiences, Titan is the backbone of data informed innovation at Microsoft AI. We are looking for a Principal Full Stack Engineer to lead the next wave of analytics experiences. You will own end to end solutions, from rich interactive user interfaces to high performance analytical services with large language model integration, built on diverse big data infrastructure. In a fast paced, collaborative environment, you will architect systems that blend Microsoft and open source technologies, partnering with product, data engineering, and data science leaders to deliver tools used daily by thousands of internal teams shaping products for over one billion users worldwide.

Job Responsibility

  • Architect and deliver intuitive analytics workflows for all skill levels: no code slice and dice, guided analysis, SQL, notebooks, and interactive app frameworks (e.g., Streamlit or Dash like)
  • Advance security and governance with role based and attribute based access control, row and column level security, auditing, lineage, and cost controls
  • standardize metrics and the semantic layer across APIs, notebooks, and experiments
  • Drive performance and reliability by meeting latency and Service Level Objective (SLO) targets
  • apply caching, pushdown, and incremental compute
  • build robust observability with tracing, metrics, and logs
  • Mentor and empower globally distributed teams
  • collaborate across product, design, data engineering, privacy, and security
  • foster inclusive engineering practices
  • Infuse AI into analytics: natural language queries, automated insights, anomaly detection, and narrative summaries with clear governance guardrails

Requirements

  • Bachelor’s degree in computer science or related technical field AND 6+ years of engineering experience designing and operating production-scale systems with strong UX focus, with coding in languages including, but not limited to, Python, C++, C#, Java, or JavaScript
  • OR equivalent experience
  • Front-end expertise: React, TypeScript, state management, performance, accessibility, data visualization (ECharts, Vega Lite, D3)
  • Back-end experience: Node.js, Python, REST, GraphQL, microservices, asynchronous messaging, caching
  • Strong SQL optimization and familiarity with columnar formats (Parquet, Delta, Iceberg)
  • Cloud experience: Azure, CI/CD, containers, Kubernetes, infrastructure as code
  • Security and reliability: OAuth, OpenID Connect, Azure AD, RBAC/ABAC, auditing, lineage, SLO ownership, incident response
  • Apache Superset customization (plug-ins, embedding, dashboard performance, security integration)
  • Experience with Databricks, Spark, ClickHouse, StarRocks, Cosmos DB, lakehouse/HDFS patterns
  • Knowledge of experimentation frameworks, semantic layers, data catalogs, lineage, Microsoft Purview
  • AI-assisted analytics: natural language SQL/KQL, automated insights
  • Observability practices: OpenTelemetry, Prometheus, Grafana, Azure Monitor
  • Statistical methods for product analytics

Nice to have

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python, C++, C#, Java, JavaScript
  • OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, Python, C++, C#, Java, JavaScript
  • OR equivalent experience
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