Sr. Data Engineer

Leads the design, development, and implementation of our enterprise data infrastructure.  Use experience and expertise to build the foundational architecture that will support reporting, analytics, machine learning, and automation across all business departments.  Data architecture responsibilities including build pipelines and optimize data platforms, define standards, select technologies, and act as the organization’s data strategy leader. This role will partner with IT, operations, finance, and manufacturing teams to ensure data becomes a trusted, governed, and scalable asset..

• Implementing Vision and Values: Keeps the organization’s vision and values at the forefront of the associate decision making and action.
• Safety Orientation:Is aware of conditions that affect employee safety, takes responsible action, and promotes safety throughout the organization.
• Customer Focus:Proactively works to determine the needs of the internal / external customers and provide solutions; actively focuses on providing high quality service to internal / external customers while addressing the organization’s mission / vision / goals / policies; maintains clear communication regarding mutual expectation.
• Contributing to Team Success:Works cooperatively with others; is agreeable and team oriented; demonstrates a willingness to put aside personal differences for the benefit of the group as a whole.
• Quality Orientation: Is aware of quality issues and actively makes suggestions for improvement of product or processes; knows how personal contribution affects overall product and process quality; understands the company’s quality objectives and how they relate to the company’s objectives.
• Work Ethic: Maintains and promotes social, ethical, and organizational norms in conducting internal and external business activities.
• Continuous and Applied Learning: Actively identifies new areas for learning; regularly creates and takes advantage of learning opportunities; uses newly gained knowledge and skills on the job and leaning through their application; comprehends new job related information in a timely manner and correctly recalls and applies that information.
• Productivity Orientation: Takes appropriate actions to satisfy work quotas (e.g. production, assignments, projects, etc.)

• Industry Practice Knowledge:Having achieved a satisfactory level of specialized professional skill or knowledge in position-related areas; keeping up with current developments and trends in areas of expertise. Attaining job-related certifications as required.
• Supporting a Service Environment:Strives to collaboratively convey the service standards the organization wants to deliver not only to the external customer, but also as importantly to internal customers as well.
• Developing Trust:Interacts with others in a way that gives them confidence in one’s intentions and those of the organization. Demonstrates honesty; keeps commitments; behaves in a consistent manner; treats people with dignity, respect and fairness.
• Problem Analysis / Analytical Thinking:Uses broad in-depth analysis of evidence to carefully evaluate a problem and the associated underlying issues that may be the cause and further analyze possible alternative solutions and potential outcome. 
• Initiative:Demonstrates self motivation to make decisions and take action [within assigned boundaries] without having to be prompted or directed to do so.
• Job and Functional Area Knowledge:The ability to demonstrate expertise related to the company's products and services as well as to other crucial aspects of the business, having the ability to operate business equipment at the required speed, accuracy and within safety specifications and guidelines.
• Listening:Demonstrates attention to and conveys understanding of the comments or questions of others.
• Communication Skills, oral:Speaks effectively one-to-one and in groups and makes effective presentations.
• Managing Detail:Is thorough in accomplishing a task with concern for all the areas involved, no matter how small; understands impact of details as they relate to key areas of business and operations, such as safety, quality, productivity, project management, information gathering, analysis and reporting, etc.
• Accountability:Demonstrates and communicates a high level of ownership and commitment to individually and collaboratively achieve results.
• Respecting Differences: Interacts favorably with people from various cultural and ethnic backgrounds; recognizes and interacts favorably to individual diversity (e.g. generational characteristics, working styles, communication styles, digital savvy, perspectives in problem solving and decision making); actively supports and / or promotes Affirmative Action, Equal Employment Opportunity, and Diversity Initiatives in the workplace.
• Communications, written: Writes clearly and effectively using appropriate style, format, grammar, and tone in informal and formal communications.
• Ability to Learn and Apply Information: Comprehends new job related information in a timely manner and correctly recalls and applies that information; objectively evaluates mistakes and uses mistakes as learning opportunities to improve performance.
• Personal Organization and Time Management: Plans ahead, identifies priorities and structures one’s own time effectively and efficiently to achieve goals and fulfill responsibilities.
• Resource Management: Uses resources in an efficient and productive manner (financial, employee, technological, property, equipment, other company resources, etc.); demonstrates fiscal responsibility through cost containment initiatives.
• Personal Flexibility: Is willing to change and adapt to situations that might not be encountered normally; readily revises schedules; is willing to cease one activity to begin another and accepts changes in work conditions without losing effectiveness; maintains self control and patience in stressful and crisis situations.
• Self Development: Knows own capabilities, seeks out feedback and responds positively to improve performance.
• Sharing of Expertise: Means both the motivation to expand and use one’s knowledge, and the willingness to share this knowledge with others.

• Performs quality work within deadlines with or without direct supervision. 
• Interacts professionally with other employees and customers.
• Works effectively as a team contributor on all assignments.
• Works independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
• Communicates regularly with supervisor about Department issues.

• Design and implement a scalable data architecture, including data lakes, data warehouses, and operational data stores.
• Lead the development of scalable and reliable ETL/ELT pipelines using cloud-native or hybrid infrastructure.
• Define and enforce best practices for data modeling, governance, version control, and access management.
• Set strategic direction for data platform tooling, architecture choices, and vendor selection.
• Collaborate with cross-functional teams to identify data needs and design reusable data products that serve analytics and operations.
• Own and manage data lifecycle processes including ingestion, transformation, quality assurance, monitoring, and retention.
• Serve as a mentor to junior engineers and analysts; establish internal documentation and onboarding guides for data systems.
• Partner with executive leadership to define data strategy, roadmap, and KPIs aligned with business priorities.

• The Data Systems Analyst will have no employees reporting to this position.

• As assigned by the EVP Business Intelligence and Analytics

• Bachelor’s or Master’s Degree in:

• 7+ years of experience in data engineering, with at least 2–3 years in a senior or architectural leadership capacity.
• Proven experience building or refactoring data platforms in cloud or hybrid environments (e.g., AWS, Azure).
• Strong experience with modern data stack tools .
• Deep understanding of SQL, data warehousing, data modeling, schema development , and API integration.
• Experience working with manufacturing OT systems a plus
• Familiarity with DevOps practices, CI/CD for data, infrastructure-as-code, and process documentation.
• Experience with BI and reporting tools (e.g., Power BI, Tableau).
• Experience in the manufacturing industry or familiarity with ERP/MES systems is a strong plus.

• The Data Analyst will have minimal required travel.
• The Data Analyst may be required to work overtime as needed.
• WorkPostures*:
• o   Seeing
• o   Sitting
• EnvironmentalConditions*:
• o   Worksinside
• o   Works withothers
• o   Works alone
• Mental Requirements*:
• o   Problem Solving
• o   Analytical Aility
• o   Communication,oral
• o   Communication, written
• o   Organization
• o   Interpersonalskills
• o   Calculating
• o   Perception
• o   Creativity
•  
• Dexterity Requirements*:
• o   Eye / handcoordination
• o   Fingers (picking, pinching,etc.)