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    Sr. Lead Data Engineer - Atlanta, United States - Chick-fil-A

    Chick-fil-A
    Chick-fil-A Atlanta, United States

    1 week ago

    Chick-fil-A background
    Description
    Overview

    As a Sr.

    Lead Data Engineer, you will be responsible for leading and executing complex data engineering project work in support of multiple products field operations analytics needs.

    The person in this role will work as part of a larger, cross-functional, full-stack execution team charged with designing, building, and deploying analytics products within the Field Operations Analytics portfolio under the stewardship of the ED&A Service Analytics team within Enterprise Data & Analytics (ED&A).

    Sr.

    Lead Data Engineers typically design and implement necessary data engineering on technically complex projects, focusing on developing solutions to data pipelining, data modeling, data accessibility, and/or Data Ops needs.

    They must be able to quickly develop mastery of the needed subject across any line of business for which they are responsible.

    Our Sr.

    Lead Data Engineers typically work with more latitude for action or decisions on projects that are more complex or cross-functional in nature.

    They may represent EA in external conversations and may assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of partnered IT and analyst teams.


    Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and/or Python.

    We expect our Sr.

    Lead Data Engineers to have demonstrated fluency and competency in both the technology language of IT and the analytics language of data scientists and insights analysts.

    They should have experience developing and implementing data models for analytic use and a moderate level of experience with cloud database architecture.

    They will need to be fast learners with a keen eye for detail, systems thinking, and process design. They must be team players who work steadfastly to create impactful change. This is a professional track role.


    Our Flexible Future model offers a healthy mix of working in person and remotely, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

    Responsibilities

    Exhibit wider latitude in aligning business stakeholders, Insights Analysts, Data Scientists, and IT teams to translate business logic into scalable data and analytic solutions on complex projects


    Design and build new up-stream production-grade data sources for Data Scientists' use in modeling, integrates data from across the business into modeling pipelines, and builds on-line and off-line feature stores to service both model production and model development activities.

    Finds and prepares data for Insights Analysts. Possesses the ability to navigate multiple Data Portfolios across the business, including Locations Data Portfolio, Financials Data Portfolio, and People Data Portfolio

    Works with Data Scientists to design and implement complex, model-specific feature engineering

    Partners with DTT Deployment Engineers on complex software engineering solutions for delivering data to and from production model pipelines

    Actively participates in the Community of Data Engineers (CODE)

    Designs specific tool implementations, understanding both data visualization, ETL, and cloud compute performance requirements and expectations

    Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use

    Helps design patterns for efficient use of cloud compute resources

    Owns and is accountable for data model and code quality and any relevant documentation

    Implements data governance and master data management principles across specific project execution, including data privacy and data ethics policy requirements

    Performs ad-hoc analysis as necessary to support specific project work

    Drives complex projects to success and enables others to own the impact

    Minimum Qualifications

    Strong analytical and data modeling skills

    Deep understanding of database technology

    Deep understanding of analytic platform data use

    Strong programming skills in SQL and/or Python

    Experience developing and implementing data models for analytic use

    Moderate experience with cloud database architecture

    Fast learner and proven problem solver

    Skilled at partnering with cross-functional teams using strong written and verbal communication

    Keen eye for system thinking and process design, especially with respect to scalability and automation

    Keen eye for detail and thoughtful investigation of data

    Has a steadfast focus on creating impactful change

    5 years' experience

    Preferred Qualifications

    Some experience using the AWS big data technology stack

    Extensive experience with Alteryx or similar ETL platforms

    Extensive experience with Tableau or similar data visualization tools

    Moderate experience implementing data governance principles

    Some experience with Model Operations tools and processes in any context

    8 years' experience

    Minimum Years of Experience

    5

    Travel Requirements

    10%

    Required Level of Education

    Bachelor's Degree

    Preferred Level of Education

    Master's Degree

    Major/Concentration

    MIS, Decision Sciences, Engineering, Business Analytics, Computer Science, or other similar fields

    Requisition ID

    Job FunctionEnterprise Viability

    Position TypeExperienced Professionals


    Posting Location :
    LocationUS-GA-Atlanta
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