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 to govern data creation, classification, usage, retention, archiving, and deletion. This role involves turning governance, privacy, and regulatory requirements into scalable engineering patterns and automation.

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
• 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, mentoring them
• 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
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly

Requirements

• Bachelor's degree in computer science, software engineering, or 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
• 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
• Experience with governance tools like Microsoft Purview
• Excellent interpersonal and organizational skills

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required.
• 8+ years proven experience with Python, SQL/NoSQL, cloud-native engineering, and delivering governed data platforms. 2+ years of experience with AI/ML and GenAI.

Nice to Have

• Advanced degree (e.g., MS)

Skills

* Required skills