Software Engineering Lead - Data
Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Aug 13, 2026.
We're looking for a Software Engineer Lead to help lead the technical direction of our data platform. This is a hybrid, hands-on role requiring architectural thinking and experience - you'll design and help implement scalable data solutions in Microsoft Fabric, guide our Power BI development standards, help shape our emerging AI/analytics roadmap, and partner closely with DBA, DevOps, and application teams as we mature our architecture.
What You’ll Be Doing
Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases
Bring expert-level knowledge of Power BI development, data modeling, and reporting standards
Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that's ready to support future AI use cases
Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions
Bring a working understanding of SQL Server performance monitoring - how to interpret database logs, identify performance issues, and support high-availability, 24/7 production environments
Support API integrations for data access and exchange across systems
Design and maintain observability practices across the data platform - including semantic models, pipelines, warehouses, and SQL endpoints - using tools like Azure Log Analytics and KQL
Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy
Contribute to technical de
What We’re Looking For
Senior-level experience in data solution design - schema design, system integration, scalability planning - with hands-on Microsoft Fabric and/or Power BI expertise
Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus
Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts
Experience with medallion architecture and cloud data warehousing patterns
Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools
Experience with API-based data integration
Solid understanding of the broader Azure ecosystem and its data-related services - App Services, VMs, Blob Storage, Log Analytics, networking basics
Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities
General exposure to or interest in AI-adjacent data patterns - e.g., natural-language-to-data querying or general familiarity with how AI grounding over data works conceptually
Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines
What Will Make You Stand Out
Familiarity with Power BI Embedded or similar embedding frameworks
Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying)
Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles
Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams