Lead Data Engineer, Marketing

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Lead Data Engineer, you will be responsible for leading significant role-specific project work as a part of a larger cross-functional team in support of Customer & Market Insights (CMI), specifically as it relates to digital experience data. Lead Data Engineers typically leverage and implement pre-defined analytics infrastructure on projects of moderate technical complexity, focusing on developing solutions to data modeling and/or analytics technology needs. This individual must be able to quickly develop mastery of the subject within the Marketing domain.

Our Lead Data Engineers typically work with some latitude for action or decisions on specific projects, solutions, or technical issues. They may represent CMI in internal conversations and may assist with the selection or oversight of outside vendor partners. Successful candidates for this role must have strong analytical and data modeling skills, a solid understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and/or Python.

We expect Lead Data Engineers to have the capacity for fluency and competency in both the technology language of IT and the analyst language of departmental analysts. 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. Additionally, this role will work in concert with the Data Services group within our Enterprise Analytics function.

Responsibilities

The person who fills this role will be expected to do the following as a part of their regular work responsibilities:

• Work with analysts in the Customer & Market Insights team and IT to translate business logic into scalable data and analytic solutions.
• Develop ETL pipelines for general business consumption, typically leveraging existing patterns as available for specific project execution and building pipelines with scalability in mind.
• Implement tool, data, and analytics best practices for specific project execution and advises COPA on such best practices.
• Leverage tools efficiently, understanding both Tableau and Alteryx performance (including server) and cloud compute performance requirements and expectations.
• Leverage cloud compute resources efficiently.
  Own and be accountable for data model and code quality and any relevant documentation.
• Implement data governance and master data management principles across specific project execution.
• Perform ad-hoc analysis as necessary to support specific project work.
• Drive projects to success and enable others to own the impact.

Minimum Qualifications

• 3-5 years experience
• Bachelor's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields
• Has strong analytical and data modeling skills
• Has a solid understanding of database technology
• Has a solid understanding of analytic platform data use
• Has strong programming skills in SQL and/or Python
• Has the skill to partner with cross-functional teams using strong written and verbal communication
• Fast learner and proven problem solver
• 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

Preferred Qualifications

• 3-5 years experience
• Master's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other

similar fields

• Has prior experience in Restaurant industry, Digital Data generated from Customer Digital Experience
• Experience in AWS Big Data Stack
• Moderate experience with Alteryx or Similart ETL platforms
• Experience implementing Data Governance Skills

Minimum Years of Experience

3

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Masters Degree

Major/Concentration

MIS, DECISION SCIENCES, ENGINEERING, BUSINESS ANALYTICS, COMPUTER SCIENCE OR OTHER SIMILAR FIELDS