Senior Data Engineer

Job Summary Our client is seeking a Senior Data Engineer to join their Technology Portfolio and Business Management (TPBM) team! This team provides strategic and operational support across the organization. The Portfolio Management team manages technology business demand, portfolio planning, and resource management processes to ensure proper prioritization, project planning, and alignment of outcomes to the strategic goals of Enterprise Technology. The Technology Business Management team provides strategic insights based on financial planning data, technology spend data and technology operational data to provide cost transparency and enable strategic decision making based Enterprise technology spend. The team is building a new Snowflake data platform, focused primarily on financial data ingestion and modeling. The role is intended for a senior-level data engineer, not a junior or lightly experienced Snowflake resource. Depth in Snowflake is more important than total years as a data engineer. Core Responsibilities • 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 Required Skills/Experience (Must-Haves) • 5+ years of experience as a Data Engineer, with emphasis on cloud data platforms (Snowflake strongly preferred) • Experience with Snowflake Cortex AI, particularly for visualization or analytical layers after the base data platform is built • Familiarity with Technology Business Management (TBM) frameworks, as the team is building a TBM platform in Snowflake • 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 Preferred Skills/Experience (Nice-to-Haves) • Experience working with financial datasets (e.g., financial planning, actuals) is emphasized as highly valuable, though not strictly mandatory • 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 Key Competencies & Behaviors • Ownership & Accountability • Cross-Functional Collaboration • Analytical Rigor & Attention to Detail Work Environment • Location: Burbank, CA or Glendale, CA • 2 days a week onsite, must be flexible up to 4 days a week onsite Compensation & Benefits • Pay Range: The approximate pay range for this position is between $70.00 and $80.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered About KellyMitchell At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. 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