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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** K&L Gates - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $128,000.0 - $249,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Code Review, Collaborative Software, Data Validation, Information Engineering, Data Governance, Data Systems, Dimensional Modeling, Data Flow Control, Github, Meta-Data Management, Microsoft Windows SDK, SQL Databases, Strategies of Testing, Enterprise Data Management, Enterprise Software Applications, Application Enhancement Tool, Data Classification, Microsoft Power Automate, Retrieval-Augmented Generation, Apache Spark, Event Driven Architecture, Microsoft Fabric, AI Platforms, Deployment Automation, Data Management, Data Pipelines - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=30803e9edf7f7cc6 ## About the Role Do you have experience in Technical solutions implementation?, Do you have a Bachelor's degree?, * Hold Bachelor's degree in a technical field; equivalent experience accepted, with ability to obtain Microsoft certifications including DP-600, DP-203, and AI-900. * Understand Data Mesh and Microsoft Purview, including domain ownership, federated governance, metadata management, cataloging, and sensitivity labeling. ## Description We are seeking a Senior Data Engineer to join the firm. The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing engineering standards, leading design, implementation, and optimization of Lakehouse, Warehouse, and Azure AI Foundry data pipelines. Role involves mentoring staff, collaborating with business and technology leaders, and delivering reliable governed products aligned with the firm's AI strategy. Reporting to the Senior Manager, Data Engineering, this position focuses on technical leadership and does not include direct supervisory responsibilities., * Designing scalable and resilient data platforms with Microsoft Fabric, including Lakehouse and Warehouse solutions on OneLake, while making independent technology decisions. * Establishing and maintaining data engineering standards, patterns, and best practices across the data engineering group and the wider EA organization. * Designing, developing, and overseeing complex data pipelines using Fabric Data Factory, Dataflow Gen2, and Fabric Notebooks for ingestion, transformation, and advanced automation. * Leading schema design, dimensional modeling, Medallion Architecture implementation, and semantic model development to enable analytics, reporting, and AI-related workloads effectively. * Optimizing data performance, reliability, and cost by proactively tuning, monitoring, and validating data quality through established processes. * Ensuring data governance, quality, and security standards are integrated into solutions, collaborating with governance leads to apply classification, lineage, and access controls. * Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval-augmented generation. * Providing mentorship and guidance to junior data engineers through code reviews, design sessions, and technical coaching, enhancing the team's overall engineering quality. * Partnering with business stakeholders to convert complex requirements into scalable data architectures while collaborating within an Agile DevOps model. Supporting CI/CD pipelines, automated deployments, and maintaining architecture documentation. * Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge-first support. * Defining and overseeing testing strategies for assigned data solutions, including quality standards, user acceptance frameworks, and validation of data accuracy. * Leveraging AI tools like Microsoft Copilot and Claude to aid development and contribute to AI solutions on the Microsoft platform stack. Adhering to governance standards, ensuring responsible use, data classification, and implementing model deployment controls effectively., * Maintain a secure workspace and willingness to travel up to 10% for offices, vendor sites, conferences, or seminars. * Participate in scheduled release windows and production support events, including evenings or weekends, with advance notice and flexible scheduling. * Demonstrate the ability to implement data governance, ensure quality, optimize performance, and integrate security controls into enterprise data solutions. * Translate complex business requirements into scalable architectures and communicate designs visually using diagramming, whiteboarding, and collaborative tools. * Collaborate effectively with technical and executive stakeholders while mentoring engineers and leading technical decisions to elevate engineering quality. * Adapt to new technologies and utilize AI-powered tools in enterprise settings to enhance productivity and achieve improved results. * 5+ years designing enterprise data platforms using Microsoft Fabric, including pipelines, schema design, dimensional modeling, Medallion Architecture, and semantic layer development. * Demonstrate expertise in SQL and Python for data transformation and automation, utilizing Spark and CI/CD pipelines through Azure DevOps or GitHub Actions. * Possess experience with Azure AI Foundry pipelines and real-time, event-driven architecture using Microsoft Fabric Real-Time Intelligence. * Possess exceptional experience applying enterprise data governance practices or contributing to data governance or architecture councils. Compensation Salary $128,000 - $ 249,000 / year The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [This App Reached 10,000 Users in One Week. 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