> Markdown version of [/jobs/ext/2979786-data-engineer](https://www.wearedevelopers.com/jobs/ext/2979786-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Microsoft - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $119,800.0 - $234,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Microsoft Azure, Code Review, Computer Engineering, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, DevOps, Monitoring of Systems, Machine Learning, Software Engineering, Web Analytics, Enterprise Software Applications, IT Architecture, Data Strategy, Microsoft Fabric, Infrastructure Automation Frameworks, Information Technology, Data Management, Data Delivery, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/63b5c699-26ca-43e1-9e65-a0cafad62c7e ## About the Role * 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., * Master'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 + OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering + OR equivalent experience. * 2+ years experience with data governance, data compliance and/or data security. * Proficient in designing data architectures, data models, and scalable data platforms that translate user scenarios into dependable technical solutions. * Demonstrated analytical skills and problem understanding, with the ability to evaluate technical trade-offs and make responsible, data-informed decisions. * Effective cross-team and technical communication skills, including the ability to explain complex architecture and data concepts clearly to technical and non-technical stakeholders. * Experience managing stakeholder priorities, facilitating cooperative decision-making, and resolving conflicts across interconnected teams to support delivery and business outcomes. ## Description We are looking for a Senior Data Engineer who is willing to work in a dynamic environment to solve real life day-to-day problems, leveraging Data and AI techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data-driven solutions to ambiguous problems. Business Understanding & Impact This role enables Microsoft's Marketing organization to transform raw data into trusted, scalable, AI-ready data products that fuel campaign performance measurement, customer intelligence, audience engagement, revenue growth, and executive decision-making through the Microsoft Fabric ecosystem. The Senior Data Engineer is responsible for the following: * Lead the design, development, and ownership of enterprise-scale marketing data products that power commercial and consumer marketing insights, campaign measurement, audience development, customer analytics, and AI-driven decision making. * Architect, build, and maintain scalable data pipelines, ETL/ELT frameworks, and modern Lakehouse solutions using Microsoft Fabric, Azure, OneLake, and related data services to support analytics, reporting, and machine learning workloads * Design and implement robust semantic models, business metrics, measures, and calculations using DAX and Direct Lake capabilities to establish a trusted and governed source of truth for marketing performance and customer insights. * Drive end-to-end ownership of data architecture, including data modeling, ingestion, transformation, storage, governance, security, and consumption patterns across the data lifecycle. * Partner with Marketing stakeholders, Technical Program Managers, Analysts, Data Scientists, and Product teams to translate business requirements into scalable data solutions that enable measurable business outcomes. * Serve as the primary Subject Matter Expert (SME) for assigned marketing data domains, ensuring data quality, consistency, governance, accessibility, and business alignment across all data products. * Build and evolve a strategic backlog of data capabilities, platform enhancements, and product features while driving execution through engineering and vendor partner teams to ensure timely delivery of business value * Collaborate with source-system owners to onboard and integrate data from CRM, digital marketing, web analytics, social platforms, advertising, customer engagement, commerce, and enterprise systems while ensuring security and compliance requirements are met. * Develop proof-of-concepts and technical validations to evaluate new data sources, architectures, platform capabilities, and AI-powered engineering solutions, ensuring scalability, reliability, and maintainability. * Establish and maintain comprehensive data quality frameworks, observability solutions, monitoring systems, and operational dashboards that proactively identify issues and ensure reliable, trusted data delivery. * Implement Medallion Architecture patterns (Bronze, Silver, Gold) and domain-driven data product strategies that optimize performance, governance, discoverability, and data reuse across marketing organizations * Design reusable engineering frameworks, scalable code patterns, and highly maintainable solutions that support long-term platform growth and engineering excellence. * Leverage AI-assisted development tools, Copilot capabilities, and agentic engineering practices to accelerate solution delivery while maintaining quality, security, privacy, compliance, and human accountability standards * Review, validate, and govern AI-generated code, infrastructure definitions, documentation, tests, and data transformations to ensure production readiness, performance, security, and maintainability. * Drive CI/CD automation, deployment standards, infrastructure-as-code practices, and DevOps excellence across development, testing, and production environments. ] * Partner closely with Data Architects, Engineering teams, Operations teams, and peer developers to establish enterprise-scale data standards, architecture principles, and technical best practices * Champion data governance, privacy, compliance, and security principles by incorporating Microsoft standards and regulatory requirements into all data engineering solutions * Mentor and support engineers across the organization through technical leadership, architecture guidance, code reviews, and knowledge sharing to elevate engineering capabilities and platform maturity. * Influence long-term data strategy by providing recommendations on emerging technologies, AI capabilities, Fabric innovations, semantic modeling approaches, and data platform modernization efforts. * Embody Microsoft's culture and values by fostering a growth mindset, customer obsession, collaboration, accountability, diversity and inclusion, and continuous learning. ## Related Videos - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)