2 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Lead the design, development, and ownership of enterprise-scale marketing data products.
- Architect and maintain scalable data pipelines, ETL/ELT frameworks, and lakehouse solutions using Microsoft Fabric, Azure, OneLake, and related services.
- Design semantic models, metrics, measures, and calculations using DAX and Direct Lake.
- Own data architecture across modeling, ingestion, transformation, storage, governance, security, and consumption.
- Partner with stakeholders and technical teams to translate business requirements into scalable data solutions.
- Serve as the subject matter expert for assigned marketing data domains and ensure data quality, governance, accessibility, and alignment.
- Build data quality, observability, monitoring, and operational dashboard solutions.
- Implement Medallion Architecture and domain-driven data product strategies.
- Drive CI/CD automation, deployment standards, infrastructure-as-code practices, and DevOps excellence.
- Review and govern AI-generated code, infrastructure definitions, documentation, tests, and data transformations.
- Mentor engineers through technical leadership, architecture guidance, code reviews, and knowledge sharing.
- Influence long-term data strategy and evaluate emerging technologies, AI capabilities, and Fabric innovations.
Requirements
- Master’s degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field and 3+ years of relevant experience.
- Bachelor’s degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field and 4+ years of relevant experience.
- Equivalent experience may substitute for the stated education and experience combinations.
- Preferred qualifications include a relevant master’s degree and 6+ years of experience or a relevant bachelor’s degree and 8+ years of experience.
- At least 2 years of experience with data governance, data compliance, and/or data security is preferred.
- Proficiency in designing data architectures, data models, and scalable data platforms.
- Strong analytical, technical decision-making, communication, stakeholder management, and conflict-resolution skills.
Benefits
- U.S. base pay range of $119,800–$234,700 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of $160,200–$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the position open for at least 5 days.
Tech Stack
Categories
Data Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.