Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.
Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.
Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.
Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.
Helps design patterns for efficient use of cloud compute resources.
Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi source data problems.
Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.
Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.
Owns and is accountable for data model and code quality and any relevant documentation.
Acts as a technical anchor for one or more product areas or platform capabilities, owning end
Implements data governance and master data management principles across specific project execution.
Act as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.
Drives complex projects to success and enables others to own the impact.
Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use. Required Qualifications (Knowledge, Skills, & Abilities)
Has strong analytical and data modeling skills
Has a deep understanding of cloud database technology
Has a deep understanding of analytic platform data use
Has strong programming skills in SQL and 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 (Knowledge, Skills, & Abilities)
Has some experience using the AWS big data technology stack
Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms
Has extensive experience with Tableau or similar data visualization tools
Has some experience implementing data governance principles
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Relocation Assistance Provided No Qualifications:

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