#2024-17273
to mentor, collaborate, and build rapport with other data & analytics teams and business partners to effectively influence organizational data strategy and decisions.
The position requires a critical thinker, a problem solver, and a decisive leader. We are looking for a thoughtful data engineer who values and takes pride in maintainable and extensible software. We need someone with a strong background in data engineering, a deep understanding of big data technologies, and a proven track record of leading data engineering teams. This role will involve designing, developing, and maintaining our data infrastructure, ensuring optimal performance and scalability. You will not be responsible for HR management of your team, which will allow you to be able to oversee the technical aspects of your team's growth and delivery while also contributing individually.
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
Own the solution architecture decisions for your team's product
Lead delivery and operations of the team's product, including both individual contribution and support as well as delegated tasks and support to your team's engineers. We desire our lead engineers to be both leads and engineers, spending about half of their time on leading others and half contributing engineering work themselves.
Lead, mentor, and assess other staff engineers, exemplifying and teaching best practices, helping to solve knotty problems, reviewing code, and sharing stories
Onboard, and oversee external partner engineers
Guide engineering team in adoption of Chick-fil-A data standards
Identify & propose emerging data engineering technologies, methodologies and/or approaches
Delegate engineering assignments & assess engineering performance
Help provide support for the portfolio of solutions the team owns
Understand specific business processes and requirements and translate them to functional requirements
Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is sharedamongst the team members to coverweekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to possible issues so they can be worked during normal hours.
Minimum Qualifications
Expert-level knowledge indesign and programmingusing Java, Golang, Python or other comparable languages
Deep database knowledge and proficient with SQL
Familiarity with version control systems and code merging/branching; specific experience with git desirable
Experience with cloud-based architecture (such as AWS big data technology stack)
Experience working with an agile development methodology featuring sprints, points estimation, and daily standups
Advanced analytical and problem-solving skills
Able to communicate complex problems and solutions effectively to a broad range of cross-functional teams using strong written and verbal communication skills
Strong interpersonal skills which influence your ability to lead others
Preferred Qualifications
Experience with all aspects of data management: data governance, data mastering, data warehousing, database management, and meta-data management.
Experience creating enterprise data flow Diagrams, enterprise data models, enterprise Data architecture diagrams, data catalogs and data dictionaries
Experience in data engineering and design, for both structured and unstructured data; data modeling, architecting, and delivering highly scalable and flexible, cost-effective, cloud-based enterprise data solutions.
Familiar with developing and implementing data models for analytic use
Deep understanding of AWS architecture
Experience with AWS big data technology stack and cloud-based architecture
Understanding of Apache Spark/Hadoop, relational and NoSQL databases.
Proven skill in standardization of ETL development and execution for large-scale enterprise data sources
Passionate about applying data strategy to achieve business outcomes
Advanced Cloud, Data certifications or degrees in related field
Experience with Databricks and dbt
Minimum Years of Experience
5
Travel Requirements
10%
Required Level of Education
Bachelor's degree or equivalent experience
Preferred Level of Education
Bachelor's Degree
Major/Concentration
Computer Engineering, Computer Science, or related Technical Field