Simulation engineer Jobs in Glendale, CA

Sr Snowflake Engineer - Senior Software Engineer
Start Date: 12 months + possibility of extensions
Location: Orlando (Preferred), Burbank, Seattle, NYC

Must be willing to relocate/work onsite (2 weeks' notice from time of offer accept)
Zero exceptions will be made, as this is corporate policy - no delayed remote start, no remote work

Skills Required:
This role combines responsibilities typically handled by two separate positions.
The ideal candidate will have experience leading large-scale data initiatives, including projects that have evolved into multi-year, multi-million-dollar programs.

The position requires extensive expertise in data management, transformation, and analysis, with a strong focus on handling complex and high-volume datasets.

While this is not a people management role, the individual will be expected to provide technical leadership and oversight to other developers from a project delivery perspective.

Candidates should possess significant experience with Snowflake and understand the importance of efficient platform utilization and cost management.
Experience working within large enterprise environments is highly desirable, particularly those managing data ecosystems containing trillions of records.
The ability to identify, organize, and extract meaningful information from large datasets and support the development of scalable data lake solutions is essential. Additionally, the candidate should be proficient in designing and optimizing queries to meet evolving business and user reporting requirements.

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 (see above):
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.

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.

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

Required Experience:
6+ years of hands-on Snowflake experience

Preferred Qualifications:
Snowflake certification, which helps validate technical expertise and proficiency with the platform