Sr. Full Stack Software Engineer

About This Role

As a Lead Engineer focusing on Data Lifecycle Management, this role involves designing, building, and operating data platform capabilities to govern how data is created, classified, used, retained, archived, and deleted. This position will lead the delivery of lifecycle controls embedded within modern data stacks, turning governance and regulatory requirements into scalable engineering patterns.

Responsibilities

• Design, build, and operate data platform capabilities for data lifecycle management
• Lead delivery of lifecycle controls such as metadata capture, data classification, and retention workflows
• Partner with data governance, security, privacy, legal, and platform teams to deliver reliable solutions
• Develop engineering solutions solving complex problems with high-quality, lean designs and implementations
• Serve as technical advocate for products, ensuring code integrity and alignment with business goals
• Lead requirement analysis, contributing to architecture, component design, development, unit testing, integrations, and support
• Maintain accountability for code design, implementation, quality, data, maintenance, and operations
• Create technical specifications, write high-quality, supportable, scalable code, and review other engineers' code
• Engage with customers and product teams to ensure timely delivery of the right solutions
• Collaborate with empowered, cross-functional teams including product management and experience

Requirements

• Bachelor's degree in computer science, software engineering, or a related discipline
• 8+ years proven experience with Python, SQL/NoSQL
• 8+ years of experience with cloud-native engineering and understanding of Azure Data Pipelines/the Azure Portal Environment
• 8+ years delivering governed data platforms
• Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations
• Experience with at least one modern data platform and its governance controls (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse)

Qualifications

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

Nice to Have

• Advanced degree (e.g., MS)
• 2+ years of experience with AI/ML and GenAI
• Strong understanding of methodologies & tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube
• 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

Skills

* Required skills