The Senior IT Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures. This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems.

Essential Duties and Responsibilities:
• Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.
• Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.
• Implement advanced data governance frameworks and ensure robust data security measures.
• Optimize cloud costs by strategically using cloud resources and efficient data architectures.
• Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.
• Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.
• Oversee complex data pipeline orchestration and ensure seamless integration across systems.
• Interact with 3rd party vendors to incorporate new functionality and evaluate tools.
• Resolve complex escalations and situations, driving effective resolutions.
• Ensure adherence to data privacy and security practices to protect sensitive information.
• Communicate effectively with stakeholders to understand and address their needs through data visualization.
• 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 Certification(s): Any relevant IT Certification.
Experience: 3+ 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.
• Ability to lead data architecture reviews and approvals.

Soft Skills:
• Project Management: Learning and understanding complex data initiatives from conception to completion.
• Mentorship: Guiding junior team members in their professional development
• Strategic Thinking: Aligning data solutions with broader organizational goals.
• Communication: Articulating data strategies to both technical and non-technical stakeholders.
• Problem-Solving: Resolving complex data challenges and escalations.
• Adaptability: Staying current with rapidly evolving data technologies and best practices.
• Creativity: Innovating new approaches to data pipeline design and optimization.

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