Director, Data Engineering - Data & AI Platform

📋 Description

• Own the engineering and solution architecture of the data platform within approved enterprise and
• Translate approved data architecture, MDM, ontology, semantic, and data-contract standards into
• Set and enforce engineering standards: repository structure, branching and CI/CD, code review
• Lead design reviews and architecture decision forums; document decisions, manage exceptions with
• Design for reuse: shared ingestion frameworks, certified transformation patterns, common serving
• Stay technically hands-on: review critical code and designs, prototype or intervene on the

🎯 Requirements

• 10+ years of data engineering experience
• 5+ years leading data engineering teams through enterprise data platform builds or modernizations.
• Deep hands-on Snowflake expertise with warehouse and database design, performance tuning, cost and
• Hands-on dbt mastery including project architecture, layered modeling conventions, testing and
• Broad modern data stack fluency with orchestration (e.g., Airflow, Dagster, or similar), ingestion
• Strong software engineering fundamentals must be an expert in SQL and have solid experience with

🎁 Benefits

• Competitive Base Salary Range of $157,100-$252,000
• Annual Incentive Compensation Eligibility – Up to 15% annually
• Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through
• Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified
• Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for
• 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term