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Lead IT Data Engineer

Tyson Foods Springdale, AR

Springdale, AR

Today

Full time Backend Developer Manager Analytics

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Job Description

Tyson Foods is seeking a Lead IT Data Engineer to support the Beef & Pork Analytics team with enterprise data solution design, development, governance, and operational support.

Responsibilities

Lead design and implementation of data engineering solutions for Beef & Pork Analytics, including Fresh Meats data lake, hub, analytics, semantic, and reporting-ready data layers.
Convert 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 for Fresh Meats reporting use cases.
Build and orchestrate complex ETL/ELT pipelines using approved enterprise patterns, including automation, dependency management, monitoring, alerting, and production support practices.
Support source-system integrations into Data@Tyson/GCP including DB2, SAP, USDA, and other internal or external sources, with replication, freshness monitoring, reconciliation, and exception handling.
Design reusable data solutions across analytics projects using 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, and 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 workflows by ensuring tables, fields, lineage, classifications, and business terms are identified, reviewed, and maintained during delivery.
Lead data quality, reconciliation, and observability so issues are detected early and traceable from source systems through GCP layers to 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 clearly and timely.
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.
Perform other assigned duties aligned with organizational vision, mission, values, and scope of practice.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, Analytics, or related field (or equivalent combination of education and relevant experience).
5+ years of relevant practical experience in data engineering, cloud data platforms, enterprise analytics, data warehousing, business intelligence, or related technology delivery.
Strong SQL skills building 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 technologies.
Experience designing and supporting multi-layer data architectures including lake, hub, curated, analytics, semantic, dimensional, star-schema, or medallion-style models (Kimball methodology in a medallion raw-cleansed-curated architecture is required).
Experience with ETL/ELT development, orchestration, pipeline monitoring, job dependencies, failure handling, and production support.
Experience 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.
Ability to lead technical design discussions, identify risks, challenge assumptions, and recommend scalable, supportable solutions.

Technologies

SQL, GCP, BigQuery, ETL, ELT, DB2, SAP, USDA, Data@Tyson
Power BI, Cloud Storage, Dataproc, Pub/Sub, Composer/Airflow, Dataflow, dbt, Python
PySpark, Spark, Terraform, CI/CD, AtScale, Fivetran, HVR, CDC, Collibra, GitLab

Benefits

Paid time off
401(k) plans
Affordable health, life, dental, vision, and prescription drug benefits

Preferred

Preferred certifications: Google Cloud data engineering, analytics, data governance, Power BI, or other relevant IT certification.
Preferred technical skills: GCP services (BigQuery, Cloud Storage, Dataproc, Pub/Sub, Composer/Airflow, Dataflow, or related tools); dbt, Python, PySpark, Spark, Terraform, CI/CD, or other modern data engineering technologies; Power BI, AtScale, semantic layer design, Fabric capacity awareness, or enterprise reporting consumption patterns; Fivetran, HVR, CDC, data replication, freshness checks, or source-to-cloud ingestion monitoring; USDA experience supporting commodity pricing, sales realization, profitability, finance, supply chain, order/invoice, customer, product, or manufacturing analytics; 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; business partnership; execution ownership; communication; detail orientation; strategic thinking; mentorship; change management.

Additional Information

Location: Springdale, AR (onsite)
Work shift: 1ST SHIFT (United States of America)
Relocation assistance eligible: No
Hourly applicants only: must complete the task after submitting the application to provide additional information to be considered for employment.
Unsolicited assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States; unsolicited resumes/candidate profiles submitted without a valid written request and search agreement approved by HR become Tyson Foods property; no fees are paid if hired due to an unsolicited referral.

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