As a Sr. Lead Data Engineer, you will be responsible for leading complex role-specific project work as a part of a larger cross-functional team in support of one or more lines of business.  Sr. Lead Data Engineers typically design and implement necessary analytics infrastructure on technically complex projects, 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 any line of business for which they are responsible.  Our Sr. Lead Data Engineers typically work with wide latitude for action or decisions on projects that are more complex or cross-functional in nature.  They act as a subject-matter-expert and resource on data and/or analytics technology issues for the larger COPA community, and 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 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 analyst language of departmental 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.

Responsibilities:

  • Exhibits wide latitude in aligning business stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.

  • Develops ETL pipelines for general business consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.

  • Develops tool, data, and analytics best practices for the COPA community advises COPA on their integration into operational practices.

  • Designs specific tool implementations, understanding both Tableau and Alteryx performance (including server) and cloud compute performance requirements and expectations.

  • 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.

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

  • Act as a subject-matter-expert and resource on data and/or analytics technology issues for the larger COPA community.

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

Minimum Qualifications:

  • Has strong analytical and data modeling skills.

  • Has a deep understanding of database technology.

  • Has a deep understanding of analytic platform data use.

  • Has strong programming skills in SQL and/or Python.

  • Has experience developing and implementing data models for analytic use.

  • Has moderate experience with cloud database architecture.

  • 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: 

  • Has some experience using the AWS big data technology stack.

  • Has extensive experience with Alteryx or similar ETL platforms.

  • Has extensive experience with Tableau or similar data visualization tools.

  • Has some experience implementing data governance principles.

Minimum Years of Experience: 5 years

Required Level of Education: Bachelor's Degree 

Major/Concentration: MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields

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