Job Description

About Inspire Brands:

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Lead Data Engineer (6–10 Years)

Location: Hyderabad.

Role Summary:

We are looking for a Lead Data Engineer with strong hands-on experience in modern data engineering and practical AI implementation. The role requires end-to-end ownership from solution design to deployment focused on delivering scalable, production-ready data and AI solutions.

Key Responsibilities:

Required Skills:

Design, build, and maintain scalable ETL/ELT pipelines using Snowflake, SQL, Python, ADF, Airflow.
Own data modelling, performance tuning, cost optimization, and data quality.
Lead GenAI solutioning, architecture design, and end-to-end delivery.
Implement AI/GenAI solutions using Copilot, Azure OpenAI / OpenAI APIs, Anthropic or Microsoft OpenAI models.
Hands-on experience with MCP servers, AI orchestration, and LLM-based workflows.
Design and deploy APIs, AI endpoints, and services with production-grade standards.
Work with Visual Studio, Cursor, or similar IDEs for development.
Manage deployments, CI/CD, environment setups, and cloud-native architectures.
Mentor engineers and collaborate with business and product stakeholders.
6–10 years of experience in Data Engineering.
Strong hands-on skills in Snowflake, SQL, Python.
Experience with ADF, Airflow, ETL/ELT frameworks.
Practical experience with Copilot and OpenAI-based implementations.
Experience in API design, endpoint development, and deployments.
Good understanding of design patterns, system architecture, and production deployments.
Solution-oriented, result-driven mindset with strong ownership.