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., * 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.

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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