Provide thought leadership on methodology to identify high value opportunities to automate processes and improve employee efficiency through the use of AI technologies.
Lead workshops and design sessions on high value use cases for AI and process automation.
Designing, creating, deploying, and sustaining software solutions on a large scale.
Implementing application architectural patterns, including but not limited to MVC, Microservices, and Event-driven architectures.
Lead the development of robust data pipelines for ingestion, transformation, and delivery using Snowflake, dbt, and cloud-native tools.
Optimize data storage, retrieval, and processing for performance, reliability, and cost-efficiency.

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field.
10+ years of experience in data engineering, with at least 2+ as team lead
Excellent communication, leadership, and stakeholder management skills.

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI technologiesprocess automationsoftware solutionsapplication architectural patternsMVCMicroservicesEvent-driven architecturesdata pipelinesSnowflakedbt

Soft Skills

communicationleadershipstakeholder management