Senior Full Stack Data Governance Engineer

• Lead the design, development, and deployment of full-stack data governance products and self-service capabilities on Azure and Databricks
• Develop scalable backend services, APIs, and integrations using Python, FastAPI, Azure services, Informatica, ServiceNow, Microsoft Graph, and other enterprise platforms
• Build front-end applications, governance portals, workflow solutions, and dashboards using ReactJS, TypeScript, data visualization frameworks, and Power BI
• Design and implement metadata management, data lineage, data quality, access governance, and workflow automation solutions
• Develop AI-powered capabilities using Azure OpenAI, Azure AI Search, RAG, vector search, prompt engineering, and agent-based workflows
• Integrate Databricks Unity Catalog, Spark, Delta Lake, and MLflow for governed data processing and AI/ML use cases
• Implement CI/CD pipelines, application security, monitoring, and DevOps practices using Azure DevOps, Jenkins, and Git
• Collaborate with cross-functional teams in architecture reviews, code reviews, sprint planning, and technical design discussions
• Mentor engineers and contribute to engineering standards and high-quality delivery

Requirements

• 5+ years of full-stack application development and Azure cloud engineering experience
• 3+ years of Databricks experience, including Spark, Delta Lake, MLflow, and Unity Catalog
• Strong Python development skills with FastAPI or similar frameworks and REST API design
• Hands-on experience with Azure Web Apps, Functions, Key Vault, Cosmos DB, Azure AI Services, and Azure DevOps
• Experience building data-intensive dashboards and reporting solutions using Power BI, ReactJS, TypeScript, and modern data visualization frameworks
• Experience developing AI-powered solutions using Azure OpenAI, RAG, vector search, prompt engineering, and agent workflows
• Experience with Informatica IDMC, CI/CD pipelines, Jenkins, Azure DevOps, and Git
• Strong problem-solving, troubleshooting, and root-cause analysis skills
• Excellent collaboration and communication skills across engineering, architecture, security, data governance, product, and business teams
• Ability to mentor engineers, contribute to engineering standards, and drive high-quality delivery through reviews and technical leadership
• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
• Nice-to-have: Extensive Informatica IDMC experience, Docker, Kubernetes, and federated data governance experience

Core Competencies

Demonstrates expertise in full-stack application development and Azure cloud engineering, with a strong focus on data governance, AI-powered solutions, and scalable backend services. Proficient in mentoring engineers and driving high-quality delivery through collaboration and technical leadership.

Highest-signal resume keywords

• Full-Stack Application Development
• Azure Cloud Engineering
• Databricks Experience
• Python Development with FastAPI
• Data Governance Solutions

Hard Skills

• Python
• FastAPI
• REST API Design
• Data Visualization
• Azure Services
• Informatica
• Spark
• Delta Lake
• MLflow
• CI/CD Pipelines

Soft Skills

• Problem-Solving
• Collaboration
• Communication
• Mentoring
• Technical Leadership

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Master’s Degree in Engineering
• Data Science Certification

Industry Keywords

• Data Governance
• Metadata Management
• Data Lineage
• Access Governance
• Workflow Automation
• AI/ML Use Cases
• Federated Data Governance

Tools & Technologies

• Azure DevOps
• Jenkins
• Power BI
• ReactJS
• TypeScript
• Azure OpenAI
• RAG
• Vector Search
• Agent Workflows
• ServiceNow