Snowflake Technical Lead

Position: Snowflake Technical Lead
Location: : Burbank CA-Onsite

Duration : Long Term (strong possibility of contract to hire)


Job Description:

Responsibilities of Role (List in order of priority first few bullets should be the most important):

- Design and Build Data Pipelines: Develop automate and maintain scalable data pipelines to bring together financial and operational data (GL vendor invoices headcount budgets) from multiple enterprise sources into Snowflake.
- Model and Structure Data: Partner with architects to develop robust data models and create semantic layers enabling user-friendly flexible reporting and analysis.
- Implement Cost Allocation Logic: Write performant SQL and/or Python code that automates multi-layer allocation engines cost pool processing and service-level analytics.
- Collaborate Across Borders: Work closely with product managers finance teams AI/ML engineers and QA to deliver governed high-quality solutions on schedule.
- Automate and Optimize: Leverage workflow/orchestration tools (such as Snowflake Tasks DBT or Airflow) and adopt CI/CD/code versioning best practices for reliability and speed.
- Ensure Data Quality & Auditability: Implement and maintain reconciliation processes checks and IT controls to meet Disneys high standards for trust compliance and transparency.
- Support and Evolve: Provide operational and incident support performance tuning and assist with continuous improvement of Enterprise Data & Analytics infrastructure.

Must Haves (Years of Experience languages programs tools etc.):
- 5 years of experience as a Data Engineer with emphasis on cloud data platforms (Snowflake strongly preferred).
- Expertise in advanced SQL for data transformation & modeling (e.g. window functions CTEs).
- Working experience with Python for ETL/ELT automation or analytics.
- Hands-on experience delivering robust maintainable data pipelines for complex enterprise environments.
- Prior experience developing financial cost models (Financial planning financial spend cost allocation & recovery etc.)
- Familiarity with workflow orchestration tools (DBT Airflow etc.).
- Knowledge of financial accounting or technology operations systems and data such as SAP Clarity ServiceNow Cognos Planning and other similar systems.
- Demonstrated ability to work collaboratively in cross-functional teams.
- Strong communication skills; experience writing documentation and partnering with non-technical partners.

Nice To Haves (see above):
- Familiarity with Generative AI tools such as Snowflake Cortex AI
- Knowledge and experience working with Technology Business Management (TBM) framework and methodology
- Strong understanding of corporate finance & accounting processes

Education:
- Bachelors degree in Computer Science Information Systems Software Electrical or Electronics Engineering or comparable field of study and/or equivalent work experience.