Lead IT Data Engineer

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.Essential Duties and 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.

• Education: Bachelor’s Degree or relevant experience.
• Preferred Certification(s): Any relevant IT Certification.
• Experience: 5+ years of relevant and practical experience.

Special Skills:

• • 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.

Preferred: Knowledge of Procurement and/or Commodities Data Landscape

Other Skills

• • Ability to lead data architecture reviews and approvals.Soft Skills:
• • 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., All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the 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., The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation., Alliance/Partner Marketing, Artificial Intelligence (AI), Best Practices, Big Data, Change Management, Cloud Computing, Cost Control, Data Analysis, Data Management, Data Processing, Data Visualization, Database Extract Transform and Load (ETL), Government Organizations, Information/Data Security (InfoSec), Leadership, Mentoring, Performance Management, Physical Demands, Privacy Controls, Project/Program Management, Purchasing/Procurement, Relationship Management, Reporting Dashboards, SQL (Structured Query Language), Scripting (Scripting Languages), Security Architecture, Software Engineering, Streaming Technology, Systems Scalability, Technical Leadership

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.