Job description

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) using cutting edge AI solutions (Generative AI, Agentic AI, etc.). The candidate will need to possess strong technical, analytical, programming and critical thinking skills. RESPONSIBILITIES Lead/guide multiple technical data engineering team members Lead by example – designing, building, maintaining and using of our platforms and services to manage data Design, develop, deploy including documenting AI solutions from concept to operationalization Demonstrate and guide implementation of Infrastructure as code, automated testing and modern observability strategies Responsible for growing an engineering culture of craftsmanship through mentoring, technical leadership as well as formal and informal presentations across data teams at Inspire Work closely with Product owners/managers to understand the business needs Collaborate with architects, data modelers and other team members to design Data and AI jobs to fulfill business needs Lead sessions with data engineers and provide necessary guidance to solve technical challenges Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) Actively contribute towards setting up and refining data engineering best practices Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable Document technical artifacts for data engineering solutions Stay up-to-date with latest AI trends and integrate emerging technologies to drive improved system performance with balanced operational pragmatism EDUCATION AND EXPERIENCE QUALIFICATIONS 8 years of experience in a data engineering role required 5 years of experience with advanced SQL queries, scripts, stored procedures, materialized views, and views 5 years of hands-on design and development experience in the data space specifically focused on ELT to load data and perform transformations in databases 3 years of experience with DevOps Models utilizing CI/CD tools Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is preferred Demonstrated hands on experience with Python is required  Snowflake experience a plus REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES Strong ability to use analytical SQL functions Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI, etc Strong expertise in LLMs building agents: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, and LLM evaluation Ability to work hands-on in a Cloud environment of Azure Cloud Platform (ADLS, Blob) Strong skills one of the ETL tools like Informatica, Talend, Azure Data Factory, and BI tools like Tableau preferred Strong skills with orchestration tools like Apache Airflow Expert ability to analyze data models Strong skills performance tuning and scaling of services Good interpersonal skills; comfort and competence in dealing with different teams within the organization Skilled leveraging Agile practices and methodologies This position is based in our Atlanta Support Center, with an expected on-site presence of 80%. Inspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide. We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company. We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple—it’s an experience. At Inspire, that’s our purpose: to ignite and nourish flavorful experiences.

Requirements

Must-haves

Lead/guide multiple technical data engineering team members
Lead by example – designing, building, maintaining and using of our platforms and services to manage data
Design, develop, deploy including documenting AI solutions from concept to operationalization
Demonstrate and guide implementation of Infrastructure as code, automated testing and modern observability strategies
Responsible for growing an engineering culture of craftsmanship through mentoring, technical leadership as well as formal and informal presentations across data teams at Inspire
Work closely with Product owners/managers to understand the business needs
Collaborate with architects, data modelers and other team members to design Data and AI jobs to fulfill business needs
Lead sessions with data engineers and provide necessary guidance to solve technical challenges
Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality)
Actively contribute towards setting up and refining data engineering best practices
Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
Document technical artifacts for data engineering solutions
Stay up-to-date with latest AI trends and integrate emerging technologies to drive improved system performance with balanced operational pragmatism
8 years of experience in a data engineering role required
5 years of experience with advanced SQL queries, scripts, stored procedures, materialized views, and views
5 years of hands-on design and development experience in the data space specifically focused on ELT to load data and perform transformations in databases
3 years of experience with DevOps Models utilizing CI/CD tools
Demonstrated hands on experience with Python is required
Strong ability to use analytical SQL functions
Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI, etc
Ability to work hands-on in a Cloud environment of Azure Cloud Platform (ADLS, Blob)

Nice-to-haves

Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is preferred
Snowflake experience a plus
Strong skills one of the ETL tools like Informatica, Talend, Azure Data Factory, and BI tools like Tableau preferred

Application prep

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Keywords to mirror

aisqlci/cdazureawsgcppythonmlllmagile

Platform: workday
Effort: long