Sr. Full Stack Software Engineer

About This Role

As a Lead Engineer in Data Lifecycle Management, you will design, build, and operate data platform capabilities governing data creation, classification, usage, retention, archiving, and deletion. Your role involves leading the delivery of lifecycle controls embedded into modern data stacks, turning governance and regulatory requirements into scalable engineering patterns.

Responsibilities

• Design, build, and operate data platform capabilities that govern how data is created, classified, used/shared, retained, archived, and deleted within scope
• Lead delivery of lifecycle controls such as metadata capture and lineage, data classification and policy enforcement, retention/legal hold workflows, and audit-ready evidence and reporting
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals
• Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations
• Create technical specifications, write high-quality, supportable, scalable code, and review code of other engineers
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery
• Quickly acquire domain-specific knowledge relevant to the business or product

Requirements

• 8+ years proven experience with Python, SQL/NoSQL
• 8+ years of experience with cloud-native engineering
• Understanding of Azure Data Pipelines/the Azure Portal Environment
• 8+ years delivering governed data platforms
• 2+ years of experience with AI/ML and GenAI
• Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube
• Deep experience with at least one modern data platform and its governance controls (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse)
• Experience with implementing data governance and lifecycle management controls across Microsoft 365 (M365) applications including Teams, OneDrive, SharePoint, CoPilot
• Experience with governance tools like Microsoft Purview

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline
• 8+ years proven experience with Python, SQL/NoSQL, cloud-native engineering, delivering governed data platforms, and 2+ years experience with AI/ML and GenAI.

Nice to Have

• Advanced degree (e.g. MS)

Skills

* Required skills