Senior IT Data Engineer - Python/SQL (Onsite)Tyson Foods • Klevenville, Wisconsin, United States
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Senior IT Data Engineer - Python/SQL (Onsite)
Tyson Foods
- Klevenville, Wisconsin, United States
- Klevenville, Wisconsin, United States
À propos
Own and drive the overall data strategy, including the multi‑quarter technical roadmap, platform architecture, and data engineering standards. Architect end‑to‑end data solutions across cloud platforms (AWS, GCP, or Azure), setting standards for orchestration (Airflow, Dagster), transformation (dbt), streaming (Kafka, Flink), and storage (Delta Lake, Iceberg, Snowflake, BigQuery). Own the enterprise data modeling strategy, crafting scalable models using dimensional, multi‑dimensional, and advanced normalization techniques, with enterprise‑wide documentation and metadata governance. Define API design standards and data contracts to ensure reliable, well‑governed interfaces between data producers and consumers. Establish enterprise‑level data governance, security, and compliance frameworks across all data and AI systems, including access controls, cataloging, and lineage. Define and enforce CI/CD standards for data pipelines, containerized architectures (Docker, K8s), and infrastructure as code (Terraform). Drive data observability practices and platform reliability at enterprise scale. Drive build‑vs‑buy evaluations for data and AI tools, considering TCO, vendor lock‑in, scalability, and organizational fit; manage vendor relationships. Own or co‑own infrastructure budget and capacity planning for data platform resources; optimize cloud costs at the organizational level. Define and drive the organization's agentic AI strategy, architecting enterprise‑scale multi‑agent systems, autonomous data pipelines, and RAG/knowledge graph platforms. Establish AI governance frameworks, including ethics policies, bias detection, safety guardrails, security standards (prompt injection, data exfiltration, PII), and compliance with emerging regulations (e.g., EU AI Act). Establish LLMOps practices at scale — model deployment, prompt versioning, A/B testing, performance monitoring, drift detection, and cost optimization. Design human‑in‑the‑loop escalation paths for critical AI‑driven decisions, ensuring appropriate oversight. Lead AI platform evaluation and integration, including TCO analysis, data residency, and SLA requirements for agentic frameworks. Set software engineering best practices — code review standards, design patterns, technical debt management, and documentation. Advocate for and lead adoption of data mesh and data‑as‑a‑product principles. Mentor the engineering team on data engineering, data modeling, and AI best practices. Perform other assigned job‑related duties that align with our organization's vision, mission, and values and fall within your scope of practice. Qualifications
Education:
Bachelor's Degree or relevant experience. Preferred Certifications:
AWS Solutions Architect Professional, Google Professional Data Engineer, Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, or equivalent. Experience:
3+ years of relevant and practical experience. Special Skills:
Expert proficiency in Python and SQL for data engineering at scale; modern data platforms (Databricks, Snowflake, BigQuery); lakehouse architectures (Delta Lake, Iceberg); streaming (Kafka, Flink, Pub/Sub); deep expertise in at least one major cloud platform with cross‑cloud awareness; mastery of orchestration, transformation (dbt), containerization (Docker, K8s), and IaC (Terraform); advanced enterprise data modeling, warehousing, data contracts, and API design; CI/CD, data observability, governance, data mesh, and platform reliability; technical roadmap ownership, build‑vs‑buy evaluation, budget/capacity planning; agentic AI architectures, LLMOps, RAG, knowledge graphs, AI governance/safety/security. Soft Skills:
Leadership; Strategic Vision; Stakeholder Management; Communication; Mentorship; Decision‑Making; Change Management; Innovation & Thought Leadership; Negotiation. Benefits
Paid Time Off 401(k) plans Health, life, dental, vision, and prescription drug benefits Additional benefits (please refer to company policy) Visa and Relocation
Not eligible for visa sponsorship or relocation assistance. EEO Statement
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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