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Enterprise Data Team Lead

Roles & Responsibilities

  • 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)

Requirements:

  • Own the architecture, design, and evolution of the enterprise data platform in Azure; lead development and optimization of the data warehouse and data pipelines
  • Build and optimize ETL pipelines across multiple data sources (SFTP, APIs, databases); design and maintain scalable data models; monitor data workflows; ensure scalability, reliability, and efficiency
  • Lead AI-driven initiatives and develop automation solutions using OpenAI and Azure AI services; identify opportunities to leverage AI for data processing and insights
  • Act as Scrum Master for the data team; facilitate sprint planning, standups, retrospectives, backlog grooming; mentor team members and manage delivery timelines; collaborate with leadership and stakeholders

Job description

About RethinkFirst 

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. 

Key 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 

Required Qualifications 

  • 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 

Preferred Qualifications 

  • 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 

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.  

Location: Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL, GA, HI, IA, IL, IN, KY, LA, MD, MA, MI, MN, MO, MT, NC, NE, NH, NJ, NV, OH, OR, PA, RI, TN, TX, VA, WA, WI, WY

Our commitment to an inclusive workplace 

RethinkFirst is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Accommodations are available for applicants with disabilities. 

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