
Snowflake Senior Technical Lead
About the role
Job Summary
Responsibilities of Role (List in order of priority, first few bullets should be the most important):
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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.
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Model and Structure Data: Partner with architects to develop robust data models and create semantic layers, enabling user-friendly, flexible reporting and analysis.
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Implement Cost Allocation Logic: Write performant SQL and/or Python code that automates multi-layer allocation engines, cost pool processing, and service-level analytics.
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Collaborate Across Borders: Work closely with product managers, finance teams, AI/ML engineers, and QA to deliver governed, high-quality solutions on schedule.
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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.
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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
Key Responsibilities
Must Haves (Years of Experience, languages, programs, tools, etc.):
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5+ years of experience as a Data Engineer, with emphasis on cloud data platforms (Snowflake strongly preferred).
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Expertise in advanced SQL for data transformation & modeling (e.g., window functions, CTEs).
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Working experience with Python for ETL/ELT, automation, or analytics.
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Hands-on experience delivering robust, maintainable data pipelines for complex enterprise environments.
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Prior experience developing financial cost models (Financial planning, financial spend, cost allocation & recovery, etc.)
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Familiarity with workflow orchestration tools (DBT, Airflow, etc.).
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Knowledge of financial, accounting, or technology operations systems and data such as SAP, Clarity, Service Now, Cognos Planning and other similar systems.
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Demonstrated ability to work collaboratively in cross-functional teams.
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Strong communication skills; experience writing documentation and partnering with non-technical partners.
Skill Requirements
Nice To Haves (see above):
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Familiarity with Generative AI tools such as Snowflake Cortex AI
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Knowledge and experience working with Technology Business Management (TBM) framework and methodology
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Strong understanding of corporate finance & accounting processes
Other Requirements
null
Required skills
Snowflake
SQL
Python
ETL
Data modeling
DBT
Airflow
About HCL Technologies
Vancouver
Headquarters