Sr. Full-Stack Software Engineer

About This Role

As a Lead Engineer focusing on Data Lifecycle Management, you will design, build, and operate data platform capabilities governing how data is handled from creation to deletion. Your expertise will be crucial in translating governance, privacy, and regulatory requirements into scalable engineering patterns and automation within modern data stacks. This role improves data trust, reduces operational risk, and enables compliant reuse of data products.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes, developing engineering solutions that solve complex problems with valuable outcomes.
• Serve as the technical advocate, 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, 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.
• Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps.
• Quickly acquire domain-specific knowledge relevant to the business or product, translating business/user needs into technical specifications and code.
• 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

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, Azure Data Pipelines, the Azure Portal Environment, and delivering governed data platforms.

Nice to Have

• Advanced degree (e.g., MS)

Skills

* Required skills