Principal Software Engineer - Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +2 · Software Engineering

Principal Software Engineer for Microsoft's CoreAI Growth and Data Science team, focusing on data and analytics architecture, large-scale data pipelines, and leveraging AI to optimize workflows. The role involves cross-team collaboration, mentoring, and ensuring data governance and trust for AI workloads within the developer ecosystem.

What you'd actually do

  1. Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
  2. Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI’s analytics initiatives.
  3. Data Governance & Trust: follow best practices for data quality, lineage, security, and compliance.
  4. Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.
  5. Leverage AI to accelerate workflows and amplify team productivity.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • 5+ years of experience leading software engineering and analytics projects that delivered measurable product and growth wins.
  • Deep experience architecting and operating large scale data pipelines in cloud environment, preferably Azure.
  • Ability to write clean, working code using core algorithms, data structures, and analytics‑oriented problem‑solving.
  • Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Experience using AI tools in software engineering, data science, and analytics workflows.
  • Experience both prototyping and deploying data products.

What the JD emphasized

  • track record of cross-team partnership
  • effective communication with engineering, executive leadership and sales
  • ability to translate product questions into targeted data science investigations
  • ability to independently identify/execute/automate insightful analysis
  • understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.

Other signals

  • Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
  • Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI’s analytics initiatives.
  • Leverage AI to accelerate workflows and amplify team productivity.