Shrive Technologies
Snowflake Technical Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Technical Lead in Burbank, CA, with a long-term contract and potential for hire. Requires 5+ years in data engineering, expertise in SQL and Python, and experience with financial cost models and orchestration tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Burbank, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #SAP #Python #Automation #Cloud #Airflow #Compliance #Data Quality #dbt (data build tool) #Documentation #SQL (Structured Query Language) #Scala #AI (Artificial Intelligence) #ML (Machine Learning) #Data Pipeline #Data Engineering #Snowflake
Role description
Job Title: Snowflake Technical Lead
Location: Burbank, CA
Remote (Y/N): No (Onsite from day one)
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 Disney’s 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.
Job Title: Snowflake Technical Lead
Location: Burbank, CA
Remote (Y/N): No (Onsite from day one)
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 Disney’s 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.
