Lead IT Data Engineer Onsite

Job Details:

Tyson Foods is seeking a Lead IT Data Engineer to support the Beef & Pork Analytics team. This role will lead the design development governance and operational support of enterprise data solutions that enable Fresh Meats reporting analytics and decision-making. The Lead IT Data Engineer will work across business and technology teams to deliver trusted data products for critical analytics use cases Fresh Meats data lake capabilities Power BI reporting and other Beef & Pork business priorities.

This position is expected to be a hands-on technical leader who can translate complex business needs into scalable data architecture build and support cloud-based data pipelines strengthen data quality and observability and help ensure analytics solutions are secure governed reusable and production-ready. The role requires strong partnership with product managers business SMEs data stewards data governance partners engineers analysts support teams and platform teams to deliver data solutions that are accurate traceable and aligned to enterprise standards.

Essential Duties and Responsibilities:
Lead the design and implementation of data engineering solutions for Beef & Pork Analytics including Fresh Meats data lake hub analytics semantic and reporting-ready data layers.
Translate business requirements report needs KPIs functional specifications and validation criteria into scalable data models pipelines transformations and analytics-ready datasets.
Develop enhance and support data products that enable Fresh Meats reporting use cases.
Build and orchestrate complex ETL/ELT pipelines using approved enterprise patterns automation dependency management monitoring alerting and production support practices.
Support DB2 SAP USDA and other internal or external data-source integrations into /GCP including replication freshness monitoring reconciliation and exception handling.
Design data solutions for reuse across analytics projects by applying shared dimensions conformed business definitions enterprise business terms and scalable modeling practices.
Implement and validate data security requirements including role-based access row-level security column-level security ARS roles data classification dependencies and DSS/security review requirements when applicable.
Partner with Data Governance Data Stewards Product Owners Data Modeling Coaches business SMEs and reporting teams to ensure data assets are documented classified stewarded and aligned to approved business terminology.
Support Collibra-related workflows by ensuring tables fields lineage classifications and business terms are identified reviewed and maintained as part of the delivery process.
Lead data quality reconciliation and observability practices so issues are detected proactively and can be traced from source systems through GCP layers and reporting outputs.
Participate in and lead architecture reviews data model reviews GitLab merge request readiness release planning production promotion and change approval activities.
Provide operational support for Beef & Pork Analytics products including incident triage service requests data lake freshness issues access/security questions pipeline failures and production reporting impacts.
Coordinate with business and IT stakeholders during issue resolution by communicating impact status root cause remediation steps and validation results in a clear and timely manner.
Mentor data engineers and analysts in SQL GCP dbt orchestration data modeling testing documentation support practices and enterprise governance expectations.
Manage technical relationships with internal platform teams vendors and third-party partners when tools integrations or platform capabilities are needed to meet business needs.
Perform other assigned job-related duties that align with the organizations vision mission values and scope of practice.

Qualifications:
Education: Bachelors Degree in Computer Science Information Systems Data Engineering Analytics or related field or equivalent combination of education and relevant experience.
Preferred Certification(s): Google Cloud data engineering analytics data governance Power BI or other relevant IT certification preferred.
Experience: 5 years of relevant and practical experience in data engineering cloud data platforms enterprise analytics data warehousing business intelligence or related technology delivery.

Required Technical Skills:
Strong SQL skills and experience developing analytical datasets for enterprise reporting dashboards semantic models and downstream analytics consumption.
Hands-on experience with cloud data platforms preferably GCP and BigQuery or comparable cloud data technologies.
Experience designing and supporting multi-layer data architectures such as lake hub curated analytics semantic dimensional star-schema or medallion-style models.
Experience with ETL/ELT development orchestration pipeline monitoring job dependencies failure handling and production support.
Experience working with source-system data preferably including ERP mainframe DB2 SAP manufacturing sales finance pricing or commodity-related datasets.
Understanding of data governance metadata business terminology lineage stewardship workflows data classification and controlled promotion into production.
Experience implementing or supporting data security controls including role-based row-level and column-level access patterns.
Experience with Git-based development merge requests code review deployment discipline testing evidence and change approval documentation.

Experience with Kimball data warehouse methodology in a medallion raw-cleansed-curated data architecture
Ability to lead technical design discussions identify risks challenge assumptions and recommend scalable supportable solutions.

Preferred Technical Skills:
Experience with GCP services such as BigQuery Cloud Storage Dataproc Pub/Sub Composer/Airflow Dataflow or related tools.
Experience with dbt Python PySpark Spark Terraform CI/CD or other modern data engineering technologies.
Experience with Power BI AtScale semantic layer design Fabric capacity awareness or enterprise reporting consumption patterns.
Experience with Fivetran HVR CDC data replication freshness checks or source-to-cloud ingestion monitoring.
Experience supporting USDA commodity pricing sales realization profitability finance supply chain order/invoice customer product or manufacturing analytics.
Experience with data quality frameworks automated reconciliation routines observability tooling or audit-ready validation practices.
Experience supporting AI machine learning automation or advanced analytics use cases through trusted and well-modeled data assets.

Soft Skills:
Technical Leadership: Serves as a senior technical contributor who can lead complex engineering work while coaching others toward durable governed solutions.
Business Partnership: Builds strong relationships with business SMEs product managers analysts data stewards and platform teams to deliver analytics that solve real business problems.
Execution Ownership: Drives work from discovery and design through development validation production deployment support and continuous improvement.
Communication: Explains complex data concepts technical tradeoffs risks timelines dependencies and decisions to both technical and non-technical stakeholders.
Detail Orientation: Values accuracy traceability and documentation especially for business-critical reporting validation issue resolution and audit-sensitive processes.
Strategic Thinking: Aligns data architecture and engineering choices to business outcomes reuse governance security performance and long-term maintainability.
Mentorship: Develops engineers and analysts by reinforcing SQL quality modeling standards documentation testing support readiness and problem-solving discipline.
Change Management: Helps teams adopt new data patterns cloud practices governance expectations and proactive production support behaviors.

** Not eligible for immigration or work authorization support now or in the future **

** Not eligible for relocation assistance **

Relocation Assistance Eligible:

Work Shift:

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.

The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race national origin color religion age genetics sex sexual orientation gender identity disability or veteran status.

We provide our team members and their families with paid time off; 401(k) plans; affordable health life dental vision and prescription drug benefits; and more.

If you would like to learn more about your data privacy rights and how you may use that information please read our Job Applicant Privacy Notice here.

Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries without a valid written request and search agreement approved by HR will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.