Lead Data Engineer
Indexed description
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
- 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
- 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
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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search