Member Of Technical Staff – Data Engineering Manager (AI)

TL;DR

Member Of Technical Staff – Data Engineering Manager (AI): Building and optimizing mission-critical data pipelines for Microsoft Copilot AI systems with an accent on ingesting, processing, and publishing data streams. Focus on architecting scalable solutions, improving human-AI interactions through data, and ensuring operational excellence for the data platform.

Location: Mountain View, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location.

Salary: USD $188,000 – $304,200 per year (San Francisco Bay Area and New York City metropolitan area).

Company

hirify.global is pushing the boundaries of AI, aiming to build systems with true artificial intelligence across agents, applications, services, and infrastructure, making AI accessible to all.

What you will do

• Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases.
• Collaborate with platform, infrastructure, application engineers, and AI Researchers to build next-generation data platform products.
• Ship high-quality, well-tested, secure, and maintainable code.
• Overcome roadblocks to deliver work quickly and iteratively.
• Manage a small team of 4-5 senior data engineers, including talent management.
• Own engineering and operational excellence for the data platform (PR reviews, code quality, productivity).

Requirements

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering work (or Master's with 4+ years).
• 4+ years technical engineering experience building data processing applications (batch and streaming) with Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL.
• 3+ years experience with data governance, data compliance, and/or data security.
• 2+ years’ experience building scalable services on public cloud infrastructure (Azure, AWS, or GCP) and extensive use of datastores (RDBMS, key-value stores).
• 2+ years’ experience building distributed systems at scale with extensive systems knowledge (bare-metal hosts to containers to networking).
• Ability to identify, analyze, and resolve complex technical issues.
• Dedication to writing clean, maintainable, and well-documented code.
• Strong interpersonal skills and ability to work with cross-functional teams.
• Ability to clearly communicate complex technical concepts.

Culture & Benefits

• Work in a fast-paced, design-driven, product development cycle.
• Embody Microsoft's culture and values (respect, integrity, accountability, inclusion).
• Focus on empowering every person and organization to achieve more.
• Access to additional benefits and compensation information via Microsoft careers.