Developer/Engineer (Snowflake)
Location: Orlando, FL/Burbank, CA/Seattle, WA or NYC
Duration: Long term contract
Key Responsibilities
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
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