Developer/Engineer

• Lead the design, development, and optimization of complex Snowflake solutions leveraging modern platform capabilities, best practices, and extensibility frameworks.
• Act as a technical authority across all development team activities to include platform strategy, AI adoption & implementation, and platform governance and security.
• Architect and govern complex data ingest & egress across multiple internal & external data sources, ensuring data quality, normalization, reconciliation, lifecycle integrity, and operational reliability.
• Design scalable models that support enterprise-wide capabilities, asset lifecycles, compliance, reporting, and integration with downstream systems.
• Be the technical expert within the Snowflake platform for alignment with global data guidelines in support of PII, GDPR, PIPL, CCPA regulations.
• Build and optimize Platform Analytics, Performance Analytics, and executive level dashboards, driving data informed decision making.
• Leverage emerging Snowflake capabilities such as Snowflake Intelligence, Streamlit, Cortex AI and Gen AI. Platform Analytics, AI/Automation frameworks, and next-generation reporting tools.
• Define technical patterns, guardrails, and reference architectures aligned with platform strategy and long-term sustainment.
• Partner with Product Management, Enterprise Architecture, Security, and Operations to translate strategic goals into robust technical solutions.
• Mentor engineers and provide architectural guidance through design reviews, code reviews, and technical coaching.
• Lead complex troubleshooting efforts, including production break-fix, discovery failures, root cause analysis, integration bottlenecks, and performance degradation.
• Produce high-quality, audit-ready technical documentation, including solution designs, data models, and architectural diagrams.
• Act as technical authority within the development team for complex data mastering, fuzzy logic, address validation, & relationship management.

Must Haves (Years of Experience, languages, programs, tools, etc.):

• 7+ years of professional software engineering experience, with significant hands-on development on the Snowflake platform.
• Snowflake certifications: SnowPro Core, SnowPro advanced data engineer.
• Advanced proficiency in JavaScript, SQL, Snowflake scripting, Snowpipe, & Snowpark.
• Demonstrated experience implementing and supporting detailed Snowflake optimization reports for very large volume data lakes across multiple accounts.
• Strong experience creating and maintaining CI/CD pipelines, enabled with custom Python code.
• Strong technical expertise implementing Snowflake Data Warehousing & Medallion data lake strategies.
• Strong hands-on expertise with Security, Disaster Recovery, Data Governance,

Monitoring, AI & Enablement.

• Solid understanding of asset lifecycles, license compliance, software normalization, and hardware asset governance.
• Experience with REST integrations, data imports, web services, and event-based integrations.
• Proven experience working in Agile delivery environments with cross-functional global teams.
• Ability to design scalable, resilient, and maintainable solutions that support enterprise growth.

Nice To Haves :

• Experience with high volume data solutions such as Databricks and Azure Synapse.

• One or more SnowPro advanced or specialty certifications, such as Generative AI, Snowpark or Architect.

• Experience implementing Platform Analytics, advanced Performance Analytics, and complex data-driven insights with a lens towards cost optimization strategy.

• Experience with programming languages such as C#, & .NET.

• Strong understanding of platform governance, upgrade strategies, and technical debt management. Education:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience