Sr. Lead Software Engineer, Analytics Engineering

Sr. Lead Software Engineer, Analytics Engineering
Experience designing complex software solutions
Experience mentoring and leading a team, including good interpersonal and team collaboration skills
Broad and deep programming experience in Python, or other comparable languages
Experience with SQL and data modeling
Experience with source control systems like Git
Experience implementing application security, software design patterns, and the SDLC
Proven ability to positively influence the engineering culture and practices in a professional environment
Minimum Years of Experience
Bachelor's degree or equivalent experience
Masters Degree
Responsibilities

In this role, you will utilize your knowledge of data, Databricks, and AWS technologies to guide multiple partner led engineering teams to deliver solutions related to customer and marketing data
You will work with large data sets and real time streaming from our mobile app, loyalty program, and other sources to deliver highly resilient data pipelines
You will be responsible for guiding solution design, following and developing best practices, holding to quality standards, and adhering to site reliability expectations
This role requires leadership, technical expertise, critical thinking, and focus on continuous improvement to solve complex data engineering challenges.
Your daily work will require partnering with fellow engineers, data and enterprise architects, technology and business stakeholders, and vendor teams following an agile methodology
Lead and mentor partner engineering teams with both on and offshore resources to efficiently deliver capabilities and scale capacity
Own the architecture and design of solutions involving Databricks, large data sets, real time streaming, highly resilient/self-healing data pipelines, and multi-region AWS architectures
Lead software delivery and operations by serving as a thought leader, innovator, model developer and reviewer
Define patterns and processes for data transformation, movement, and manipulation using (amongothers), SQL, Databricks, dbt, Spark, Amazon Aurora, DynamoDB, and Redshift
Identify & propose emerging technologies, methodologies and/or approaches related to data andanalytics
Be a key participant of the teams Agile process
Address engineering assignments by autonomously deciding which ones to delegate and which ones to execute hands-on
Facilitate transitions to Managed Operations for 24x7 monitoring and level 1 and 2 support while organizing vendor teams to provide level 3 engineering support
Qualifications

Experience designing complex software solutions
Experience mentoring and leading a team, including good interpersonal and team collaboration skills
Broad and deep programming experience in Python, or other comparable languages
Experience with SQL and data modeling
Experience with source control systems like Git
Experience implementing application security, software design patterns, and the SDLC
Proven ability to positively influence the engineering culture and practices in a professional environment
Minimum Years of Experience
Bachelor's degree or equivalent experience
Masters Degree
Responsibilities

In this role, you will utilize your knowledge of data, Databricks, and AWS technologies to guide multiple partner led engineering teams to deliver solutions related to customer and marketing data
You will work with large data sets and real time streaming from our mobile app, loyalty program, and other sources to deliver highly resilient data pipelines
You will be responsible for guiding solution design, following and developing best practices, holding to quality standards, and adhering to site reliability expectations
This role requires leadership, technical expertise, critical thinking, and focus on continuous improvement to solve complex data engineering challenges.
Your daily work will require partnering with fellow engineers, data and enterprise architects, technology and business stakeholders, and vendor teams following an agile methodology
Lead and mentor partner engineering teams with both on and offshore resources to efficiently deliver capabilities and scale capacity
Own the architecture and design of solutions involving Databricks, large data sets, real time streaming, highly resilient/self-healing data pipelines, and multi-region AWS architectures
Lead software delivery and operations by serving as a thought leader, innovator, model developer and reviewer
Define patterns and processes for data transformation, movement, and manipulation using (amongothers), SQL, Databricks, dbt, Spark, Amazon Aurora, DynamoDB, and Redshift
Identify & propose emerging technologies, methodologies and/or approaches related to data andanalytics
Be a key participant of the teams Agile process
Address engineering assignments by autonomously deciding which ones to delegate and which ones to execute hands-on
Facilitate transitions to Managed Operations for 24x7 monitoring and level 1 and 2 support while organizing vendor teams to provide level 3 engineering support
Overview

Chick-fil-A's Analytics Engineering team enables access to data in support of business-critical decisions across the enterprise...

In this role, you will utilize your knowledge of data, Databricks, and AWS technologies to guide multiple partner led engineering teams to deliver solutions related to customer and marketing data. You will work with large data sets and real time streaming from our mobile app, loyalty program, and other sources to deliver highly resilient data pipelines.

You will be responsible for guiding solution design, following and developing best practices, holding to quality standards, and adhering to site reliability expectations. This role requires leadership, technical expertise, critical thinking,andfocus on continuous improvement to solve complex data engineering challenges.

Your daily work will require partnering with fellow engineers, data and enterprise architects, technology and business stakeholders, and vendor teams following an agile methodology. You will be part of a diverse team that supports you to be your best by modeling service, high performance, continual learning, and 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
Lead and mentor partner engineering teams with both on and offshore resources to efficiently deliver capabilities and scale capacity
Own the architecture and design of solutions involving Databricks, large data sets, real time streaming, highly resilient/self-healing data pipelines, and multi-region AWS architectures
Lead software delivery and operations by serving as a thought leader, innovator, model developer and reviewer. Languages include, but not limited to Python, PySpark, SQL
Exercise skills in Cloud infrastructure and CI/CD automation as well as areas like application security, dataanalytics, machine learning, and site reliability engineering (SRE)
Define patterns and processes for data transformation, movement, and manipulation using (amongothers), SQL, Databricks, dbt, Spark, Amazon Aurora, DynamoDB, and Redshift
Identify & propose emerging technologies, methodologies and/or approaches related to data andanalytics
Be a key participant of the teams Agile process
Address engineering assignments by autonomously deciding which ones to delegate and which ones to execute hands-on
Facilitate transitions to Managed Operations for 24x7 monitoring and level 1 and 2 support while organizing vendor teams to provide level 3 engineering support.

Minimum Qualifications
Experience designing complex software solutions
Experience mentoring and leading a team, including good interpersonal and team collaboration skills
Broad and deep programming experience in Python, or other comparable languages
Experience with SQL and data modeling
Experience with source control systems like Git
Experience implementing application security, software design patterns, and the SDLC
Proven ability to positively influence the engineering culture and practices in a professional environment

Preferred Qualifications
Experience working with customer and marketing data, analytics, and stakeholders
Deep understanding of AWS architecture
Databricks experience
Experience with very large datasets
Experience with streaming data and high throughputs
Experience with business-critical data pipelines and designing for high levels of resiliency, fail over, and recovery
Experience with test-driven development, continuous integration and deployment, Scrum discipline, or comparable software development practices
Familiarity with version control systems and code merging/branching; specific experience with git
Experience working with an agile development methodology featuring sprints, points estimation, and daily standups
Experience in design, data collection, and data analysis

Minimum Years of Experience
3
Travel Requirements
20%
Required Level of Education
Bachelor's degree or equivalent experience
Preferred Level of Education
Masters Degree
Major/Concentration
Computer Engineering, Computer Science, or related Technical Field

Company information
Atlanta-based Chick-fil-A, Inc. is a family owned and privately held restaurant company founded in 1967 by S. Truett Cathy. Devoted to serving the local communities in which its franchised restaurants operate, and known for its original chicken sandwich, Chick-fil-A serves freshly prepared food in more than 2,500 restaurants in 47 states, Washington, D.C., and Canada.A leader in customer service satisfaction, Chick-fil-A was named top fast food restaurant in Newsweeks 2019 Americas Best Customer Service report and received several honors in QSRs 2019 Readers Choice Awards, including The Most Respected Quick-Service Brand and Best Brand for Overall Experience. Additionally, Glassdoor named Chick-fil-A one of the top 100 best places to work in 2020. More information on Chick-fil-A is available at www.chick-fil-a.com.
Retail, Hospitality, Food and Beverage, Food Retail, Food Service, Restaurant, Quick Service Restaurants, Fast Food, Food and beverage, Fast food
Privately Held
Founded: 1946
Atlanta, GA
Company Specialties:
Customer Service, Hospitality, Restaurants, and Operations

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