Responsibilities
Architect the agentic data platform — the AI systems that generate, validate, operate, and scale ingestion, transformation, and serving — so new datasets and metrics are onboarded by orchestration rather than bespoke engineering.
Own the long-term architecture and durable engineering patterns for the curated data and semantic layer as OPG's governed source of truth across Microsoft Fabric, Kusto/Eventhouse, and OneLake.
Build the orchestration, guardrails, evaluations, and self-healing observability that let agents run data operations reliably, with engineers supervising outcomes rather than hand-tending pipelines.
Ground AI-generated reports, narratives, and exports in deterministic, governed data so numbers are never invented.
Lead architecture and design reviews, raise the engineering bar for applied AI, and partner across experimentation, growth, and app teams to turn ambiguous product needs into durable platform capability.
Qualifications
Required Qualifications:
- 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 Qualifications:
- Experience designing and operating large-scale data platforms, distributed services, or analytics systems. Recent experience building AI agentic systems with latest models.
- Deep experience in engineering judgment in data modeling, KQL or SQL, data contracts, CI/CD, observability, reliability, and service operations.
- Deep architecture and design skills, ability to handle cross-org and cross-group priorities, with drive for results and outcomes.
- Ability to partner across engineering, program management, data/applied science, analytics, and app teams to convert ambiguous product needs into durable platform capabilities.
- Demonstrated ability to drive cross-team technical alignment and mentor engineers through architecture, implementation, and operational readiness.
- Familiarity with Microsoft Fabric, Kusto/Eventhouse, OneLake, ADLS Gen2/Delta, semantic models, Power BI, or AI-driven analytics is highly preferred.
#OPG #OPGHiring
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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