Lead Data Engineer


Job Overview

OverviewAs 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 one or more major analytics technology tools. 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. They must be able to quickly develop mastery of the needed subject across a specific line of business for which they are responsible. Our Lead Data Engineers typically work with some latitude for action or decisions on specific projects, solutions, or technical issues. They may represent EA in internal conversations and may assist with the selection or oversight of outside vendor partners. Successful candidates for this role must have strong technology and data analysis 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.Responsibilities+ Works with business stakeholders and IT to translate business logic into scalable data and analytic solutions.+ Develops ETL pipelines within Tableau/ThoughtSpot/Alteryx for general business consumption, typically leveraging existing patterns as available for specific project execution and building pipelines with scalability in mind.+ Implements tool, data, and analytics best practices for specific project execution and advises COPA on such best practices.+ Leverages tools efficiently, understanding both Tableau and Alteryx performance (including server) and cloud compute performance requirements and expectations.+ Leverages cloud compute resources efficiently.+ 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.+ Performs ad-hoc analysis as necessary to support specific project work.+ Drives projects to success and enables others to own the impact.Minimum Qualifications+ Has strong analytical and data modeling skills+ Has a solid understanding of database technology+ Has experience with AWS or similar+ Is familiar with distributed compute+ 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 changePreferred Qualifications+ Has some experience using the AWS big data technology stack+ Has moderate experience with Alteryx or similar ETL platforms+ Has moderate experience with Tableau or similar data visualization tools+ Has some experience implementing data governance principlesMinimum Years of Experience3Travel Requirements10%Required Level of EducationBachelor’s DegreePreferred Level of EducationMasters DegreeMajor/ConcentrationMIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fieldsJob FunctionEnterprise Analytics & Enterprise Risk ManagementPosition TypeExperienced ProfessionalsCityAtlantaRequisition ID2020-8286

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