We're seeking highly skilled and collaborative Senior Data Engineers to join a cross-functional scrum team and focus on on data engineering execution while migrating pipelines from Informatica to Azure Data Factory (ADF) on a Snowflake-centric stack.
This is a hands-on contributor role accountable for taking stories from intake through to Production.
Requirements:Must-Have Requirements
• Hands-on contributor with a proven track record of taking stories from start to Production.
• Demonstrated ability to work independently as a “doer,” jumping into complex tasks and driving them to completion with minimal guidance.
• Strong, hands-on experience with Snowflake, including:
◦ Query writing
◦ Query performance tuning
◦ Working knowledge of core Snowflake features (e.g., dynamic tables, streams, tasks, warehouses, roles)
• A process-oriented mindset, with experience identifying gaps, improving workflows, and implementing repeatable, scalable solutions.
• Demonstrated ability to quickly learn new tools, technologies, and patterns, especially in a rapidly evolving data ecosystem.
• Strong collaboration skills, with the ability to work effectively within a cross-functional scrum team — engineers, analysts, architects, and product partners — to refine requirements, align on delivery expectations, and identify process improvements.
• Python skills with practical experience building data pipelines, automation scripts, integrations, and reusable components.
◦ Ability to write clean, maintainable, testable code following modern engineering best practices.
Should-Have Requirements
• Deep understanding of ETL/ELT design principles, including orchestration, dependency management, error handling, and data validation.
• Prior experience implementing template-based and configuration-driven frameworks for ETL processes.
• Ability to design, optimize, and troubleshoot complex data movement pipelines.
• Strong understanding of structured data storage, performance tuning, and schema design.
• Experience with Azure Data Factory (ADF) for orchestration and data movement.
Could-Have / Nice-to-Have Requirements
• Experience migrating pipelines from Informatica to ADF or another modern orchestration platform.
• Familiarity with DevOps concepts and processes, particularly around:
◦ CI/CD for data engineering
◦ Branching strategies
◦ Deployment automation
• Experience with broader Azure cloud services, especially event-driven or serverless compute such as Azure Functions.
• Ability to translate solution architecture blueprints into actionable implementation steps.
• Capable of working closely with a lead engineer or architect to break down a strategy and drive execution on individual components.
Ideal Candidate Traits:
Curious, proactive, and collaborative.
Strong communication and teamwork skills.
Committed to delivering solutions together, not in competition.
Embraces Agile methodology and promotes a one-team culture.
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