Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
22 hours ago
SQLSnowflakeAgileAzureC#Databricks.NETGDPRGenerative AIJavaScriptPythonREST
Job Description
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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