Lead IT Data Engineer (Onsite)

Tyson Shared Services•Springdale, AR

11d•Onsite

About The Position

The Lead IT Data Engineer leads and executes cloud cost optimization strategies, demonstrating expert data architecture and security knowledge. They are heavily involved in data strategy, driving the adoption of best practices in data management and governance within the organization. Their expertise also encompasses a comprehensive command of ETL tools and SQL, enabling them to handle the most challenging data scenarios and contribute significantly to the organization's data analytics capabilities.

Requirements

Bachelor's Degree or relevant experience.
5+ years of relevant and practical experience.
Advanced skills in data streaming and real-time data processing.
Expertise in designing complex data architectures and scalable systems.
Deep knowledge of big data technologies and extensive experience with data security measures.
Ability to lead data architecture reviews and approvals.
Project Management: Leading complex data initiatives from conception to completion.
Leadership: Driving data strategy and best practices across the organization.
Stakeholder Management: Building and maintaining relationships with internal and external partners.
Strategic Vision: Aligning data initiatives with long-term business objectives.
Communication: Presenting complex data concepts to executive leadership.
Mentorship: Fostering the growth and development of the data engineering team.
Decision-Making: Making informed choices about data architecture and tools.
Change Management: Guiding the organization through data-related transformations.
Responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs.
Ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI.
Ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.

Nice To Haves

Any relevant IT Certification.
Knowledge of Procurement and/or Commodities Data Landscape

Responsibilities

Help drive the overall data strategy, including designing and implementing comprehensive data architectures and visualization solutions.
Architect end-to-end data solutions strongly emphasizing cloud cost optimization and enterprise-scale visualization.
Drive data strategy, align data visualization initiatives with organizational goals, and contribute to strategic decision-making.
Ensure enterprise-level data governance and security, including advanced row-level and column-level protections.
Lead the integration of big data technologies, data streaming solutions, and advanced visualization tools in large-scale environments.
Oversee complex data pipeline orchestration and drive the adoption of cutting-edge ETL tools and visualization principles.
Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards.
Manage relationships with 3rd party vendors, ensuring the selection of the best tools for the organization’s needs.
Lead the resolution of complex escalations, ensuring that any issues are swiftly and effectively addressed.
Maintain a strong data privacy and security focus, ensuring all visualization solutions adhere to best practices.
Communicate and collaborate with key internal and external stakeholders to deliver impactful data solutions that meet business needs.
Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.