Sr. Lead Data Engineer, Supply Chain

Responsibilities

• Process Engineering: Encourage requirements gathering, strong process understanding, documentation, and policy design and enforcement to align the digital data environment and process to the physical network it informs and supports
  • Experience mapping current state processes, identifying inefficiencies, and designing improved future state processes
  • Proficiency in business process modeling and notation (e.g., BPMN)
  • Strong analytical and problem-solving skills to identify root causes of process issues
  • Ability to facilitate workshops and gather requirements from stakeholders
  • Experience in process improvement methodologies (e.g., Lean, Six Sigma)
  • Ability to translate business requirements into technical specifications
  • Experience with data analysis to drive process improvement recommendations
  • Understanding of data governance and data quality principles
• Systems Engineering:
  • Experience in designing, implementing, and maintaining data and analytics systems
  • Strong understanding of data warehousing, data lakes, and ETL processes
  • Proficiency in cloud-based data platforms (e.g., AWS, Azure, GCP)
  • Experience with data modeling and database design
  • Knowledge of data integration techniques and tools
  • Ability to troubleshoot system issues and identify solutions
  • Understanding of system security and data privacy principles
  • Experience with DevOps practices and automation
• Process Observation and Documentation:
  • Observe and analyze how our digital data ecosystem mirrors physical processes and systems
  • Document data flows, information flows, and integration flows using engineering best-practice documentation techniques (e.g., process flow diagrams, data flow diagrams)
• Current State Assessment:
  • Thoroughly assess and document the current state of data flows and physical processes related to data creation, ingestion, systematization, consumption, and deprecation
  • Identify pain points, inefficiencies, and areas for improvement within existing data processes
• Target State Design:
  • Design an optimal target state for data flows and physical processes, aligned with business objectives and industry best practices
  • Develop comprehensive data lifecycle management strategies for the MDM system and analytical data model
• Gap Analysis:
  • Perform detailed gap analysis between current state and target state designs, identifying the steps and resources needed to achieve the desired future state
  • Develop and present recommendations for bridging identified gaps
• Data Lifecycle Management:
  • Focus on how data is created, ingested, systematized, consumed, and deprecated within the MDM system and the analytical data model
  • Develop and implement strategies to improve data quality, governance, and compliance throughout the data lifecycle
• Operational Process and Analytics Unification:
  • Assess opportunities to unify disjointed analytics with their corresponding operational processes
  • Design and implement solutions that enable seamless integration between operational systems and analytical platforms
• Collaboration and Communication:

  • Collaborate closely with data architects, data engineers, business analysts, and other stakeholders to ensure alignment and effective implementation of data solutions

  • Communicate findings, recommendations, and project status updates to both technical and non-technical audiences

Minimum Qualifications

• Bachelor's Degree in Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field

• 4+ years of related experience

• Strong understanding of data architecture principles, master data management concepts, and data governance practices

• Experience with data modeling, data integration, and data warehousing techniques

• Proficiency in process mapping and documentation tools

• Excellent analytical, problem-solving, and communication skills

• Ability to work independently and collaboratively in a fast-paced environment

Preferred Qualifications

• 5+ years of related experience

Minimum Years of Experience

4

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Major/Concentration

Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field