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 team’s 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 team’s 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 team’s 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 Newsweek’s 2019 America’s Best Customer Service report and received several honors in QSR’s 2019 Reader’s 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

#J-18808-Ljbffr