Lead Data Engineer

We are looking for a Lead Data Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will be required to possess strong technical, analytical, programming, and critical thinking skills.

RESPONSIBILITIES

• Lead/guide multiple technical data engineering resources.
• Lead by example – designing, building, maintaining and using of our platforms and services to manage data
• 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 engineering processes 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
• Study new technology trends, execute POCs for new technologies and make recommendations.
• Experience with performance tuning and scaling of services
• Good interpersonal skills; comfort and competence in dealing with different teams within the organization.
• Experience with Agile practices and methodologies

EDUCATION AND EXPERIENCE QUALIFICATIONS

• 4 Year Degree and/or Bachelor's degree in computer science, data science, information science or related field, or equivalent work

• 8 plus years of professional experience

• 5 years of experience in a Data Engineering role

KNOWLEDGE, SKILLS AND ABILITIES

• Experience in one of the cloud platforms like Azure, AWS, GCP 
• Advanced SQL queries, scripts, stored procedures, materialized views (5+ yrs experience)

• Focus on ELT to load data into database and perform transformations in database (5+ yrs experience)

• Ability to use analytical SQL functions
• Experience in Python is required  

• Snowflake experience a plus.

• Experience building Data lakes and warehouses. (5+ yrs experience)
• Cloud Data Warehouse solutions experience (Snowflake, Synapse, or Redshift); data modeling, analysis, programming – (5+ years experience with one or more cloud platforms)

• Experience with DevOps models utilizing a CI/CD tool (3+ yrs experience)

• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)

• Experience in one of the ETL tools like Informatica, Talend, Azure Data Factory, and BI tools like Tableau preferred. 
• Experience with orchestration tools like Apache Airflow 

• Analyze data models

 

Inspire Brands is a multi-brand restaurant company whose portfolio includes more than 32,000 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.