Transforming Marketing at Microsoft into a true "Frontier Organization" that drives impact at an unprecedented scale by building cutting-edge data platforms
Requirements
- 4+ years of experience with software development in big data, with 2+ years experience as a development lead managing big data platforms
- Experience developing and using Azure Data stack (Synapse, ADB [Azure Data bricks], ADF [Azure Data Factory], Cosmos, Azure Data explorer, Fabric) and data visualization tools
- Experience with data architecture, data modeling, designing, and building data pipelines for Operational, Advanced analytics and AI (Artificial Intelligence) agent/ML (Machine Learning) workloads
- Experience in setting up and running Agile/Scrum teams (including ADO [Azure Developer Operations] or similar for example) set up, estimation, planning, and tracking burn downs
- Familiarity and experience with secure development practices and implementing Privacy compliant data processing, storage, and access solutions
- 2+ years of experience managing execution through vendor teams
- Previous experience in digital media, marketing, adobe suite of products, web analytics, or any in-house Microsoft data platforms is a plus
Responsibilities
- Lead, own and drive data acquisition, ETL processing and product development for commercial marketing data products to enable critical analytical insights and campaign performance measurement
- Build scalable and performant semantic models using Microsoft Fabric Platform and develop metrics and insights using DAX [Data Analysis expressions] calculations
- Drive end-to-end data architecture, data modeling, design, build and delivery for your data products/models
- Coordinate with source data owners to obtain access and identify data handling and security requirements
- Develop proof-of-concept tools to validate connectivity, throughput, correctness, and limitations of those data sources
- Create data quality and monitoring for key end to end data flows to ensure data reliability and issue visibility and responsiveness
- Contribute to enhancing the architecture, design principles and framework through inputs and feedback from domain specific scenarios and use cases
Other
- 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 work
- Demonstrated ability to work independently across organization partnering with technical and non-technical audience, comfortable making tough decisions based on qualitative and quantitative inputs
- Embody our culture and values
- Ability to work in an inclusive work environment for all employees to positively impact our culture every day
- Must be eligible to work in the U.S.
