Lead Software Engineer - Data Job at Chick-fil-A, Inc.
Overview:
You will be responsible for architecting, designing, and leading the implementation of data ingestion for Chick-fil-A’s Supply Chain. This effort will leverage Managed Airflow maintained by Chick-fil-A which uses an evolving set of data tooling and technology.
Your daily work will require partnering with fellow engineers, the product owner, data and enterprise architects, data scientists, business stakeholders, vendor teams, and other parties following an agile methodology, while being part of a diverse team that values high performance and excellence as much as work-life balance.
Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Responsibilities:
Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared amongst the team members to cover weekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to issues so they can be worked during normal hours. Minimum Qualifications:
Chick-fil-a’s Analytics Engineering is responsible for the Data Ecosystem and common services used in analytics which may include Big Data, ML Operations, computer vision, text, and speech analytics. In this role, you will design, architect and lead development for business-critical ingestion of supply chain data needed for operational and analytical systems.
You will be responsible for architecting, designing, and leading the implementation of data ingestion for Chick-fil-A’s Supply Chain. This effort will leverage Managed Airflow maintained by Chick-fil-A which uses an evolving set of data tooling and technology.
Your daily work will require partnering with fellow engineers, the product owner, data and enterprise architects, data scientists, business stakeholders, vendor teams, and other parties following an agile methodology, while being part of a diverse team that values high performance and excellence as much as work-life balance.
Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.
- Lead, mentor and assess partner engineering teams with minimal supervision
- Own the architecture and design of the required software components for evolving Chick-fil-A's data ecosystem into a data fabric architecture
- Lead software delivery and operation by serving as a model developer and reviewer of code in the following programming languages: Python, JavaScript (Angular or React), PySpark
- Exercise skills in Cloud infrastructure and deployment as well as areas like application security, data analytics, machine learning, and site reliability engineering (SRE)
- Define patterns and processes for data transformation, movement, and manipulation using (among others) Hadoop/Spark, SQL, Airflow, Databricks, Amazon Aurora, DynamoDB, Athena, and Redshift
- Identify & propose emerging technologies, methodologies and/or approaches related to data and analytics
- Be a key participant of the team’s Agile process
- Address engineering assignments by autonomously deciding which ones to delegate and which ones to execute hands-on
Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared amongst the team members to cover weekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to issues so they can be worked during normal hours.
- Bachelor’s Degree or the equivalent combination of education, training and experience from which comparable skills can be acquired
- Broad and deep programming experience in Python, JavaScript, Java, Scala, or other comparable languages
- Experience with SQL, data modeling, and the Hadoop ecosystem
- Experience with source-control systems like Git or Subversion, and CI/CD tools like GitHub Actions or Jenkins
- Experience implementing application security, software design patterns, and the SDLC
- Good interpersonal and team collaboration skills
- Masters Degree or the equivalent combination of education, training and experience from which comparable skills can be acquired
- 5 years or more of relevant work experience
- Experience architecting software solutions on Amazon Web Services (AWS) or other major Cloud Service Provider
- Experience with DataBricks and DBT
- Experience working with an Agile development methodology featuring sprints, point-estimation, and daily standups
- Proficiency in Spark programming or equivalent big data technology
- Experience with Unix/Linux and container technologies such as Docker
- Experience with Airflow or similar orchestration technology
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