Enterprise Data Team Lead

RethinkFirst•Chicago, IL

1d•Remote

About The Position

RethinkFirst is a leading behavioral health technology company working to make mental wellness, education, and support accessible and scalable. Through our suite of cloud-based platforms—including RethinkEd, RethinkCare, and RethinkBH—we serve educators, employers, and providers with tools that deliver measurable, inclusive outcomes. We're on a mission to make behavioral health more effective, equitable, and human. Overview We are seeking an experienced Enterprise Data Team Lead to drive the design, development, and delivery of our data platform. This role combines technical leadership, hands-on development, and team coordination, with ownership over our Azure-based data ecosystem. The ideal candidate will lead data initiatives, ensure high-quality delivery of our data warehouse and pipelines, and serve as a Scrum Master to guide agile execution. This role requires strong collaboration with leadership, stakeholders, and cross-functional teams.

Requirements

Strong experience in data engineering and data platform leadership
Deep expertise in Azure data ecosystem (Fabric, Databricks, Data Factory, etc.)
Experience with .NET-based environments and integrations
Hands-on experience with AI development (OpenAI, Azure AI services)
Proven experience working in Agile/Scrum environments (Scrum Master experience preferred)
Strong ownership mindset with accountability for outcomes
Excellent communication and presentation skills

Nice To Haves

Experience in healthcare data systems
Familiarity with ABA domain
Experience building and managing data integrations across systems
Key Traits
Strong sense of ownership and accountability
Ability to balance hands-on work with leadership responsibilities
Excellent cross-functional collaboration skills
Strategic thinker with attention to execution detail

Responsibilities

Technical Leadership & Ownership
Own the architecture, design, and evolution of the enterprise data platform in Azure
Lead development and optimization of the data warehouse and data pipelines
Drive best practices across data engineering, modeling, and performance
Provide hands-on technical contributions when needed
Data Platform
Work extensively with: Azure Data Factory / Fabric Azure Databricks Azure storage and data services
Ensure scalability, reliability, and efficiency of data solutions
Design and maintain scalable data models (fact/dimension, normalized/denormalized)
Build and optimize ETL pipelines across multiple data sources (SFTP, APIs, databases)
Monitor and maintain ETL pipelines and data workflows
Hands-on experience with Snowflake and cross-platform data integration
AI & Advanced Data Solutions
Lead and contribute to AI-driven initiatives
Develop structured data extraction and automation solutions
Build and integrate solutions using: OpenAI Azure AI Foundry
Identify opportunities to leverage AI for data processing, insights, and automation
Agile & Team Leadership
Act as Scrum Master for the data team
Facilitate sprint planning, standups, retrospectives, and backlog grooming
Manage team workload, priorities, and delivery timelines
Mentor and guide team members
Stakeholder Collaboration
Work closely with leadership, product, and business stakeholders
Translate business needs into scalable data solutions
Communicate progress, risks, and outcomes effectively
Integration & Domain Alignment
Support and guide system integrations across platforms
Apply domain knowledge in healthcare, with preference for ABA (Applied Behavior Analysis) experience

Benefits

Generous health, dental, & vision benefits package
Flexible paid time off
11 paid company holidays
401k + matching
Parental leave
Access to our award-winning RethinkCare platform supporting neurodiversity in the workplace through parental success, professional resilience, and personal wellbeing.

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