Software Engineering Lead - Data

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Virtual first, remote organization and culture.
• Flexible Paid Time Off (PTO).
• 401(k) retirement plan with corporate matching.
• Medical, prescription, vision, and dental coverage (multiple plans based on your needs).
• Short Term and Long Term Disability (for employee).
• Life Insurance (for employee).
• New Team Member support for home office setup.