Cloud Data Engineer Senior

Overview

This Senior Cloud Data Engineer role is focused on cloud data and AI/ML platforms and services.  The responsibilities include designing, migrating, developing, implementing, and operating Azure cloud-based data platforms and services solutions that align seamlessly with the company’s data and AI/ML strategy and vision. Key responsibilities also involve leading data engineering projects implementation, optimizing and troubleshooting data platforms and services, and migration of existing solutions to Azure cloud. In addition, the Senior Cloud Data Engineer serves as a subject matter expert in Azure cloud data and AI/ML technologies, actively shaping our data and AI/ML platforms, services and engineering processes and plays a pivotal role ensuring the success of our data and AI/ML initiatives.

 

Pay Range: $122,000 - $130,000

 

What We Offer: 

 

• Tuition Waiver: Enjoy a tuition waiver after 6 months of employment for you AND your immediate family offered at UTI and Concorde campuses
• Paid Time Off: Competitive paid time off programs for employees (Vacation, Sick, Flexible)
• Retirement Matching: 50% match on the first 6% of your contributions after 90 days
• Paid Parental Leave: 4 weeks of paid leave for both birthing and non-birthing parents to bond with a new baby
• Competitive Insurance: Health, vision, and dental coverage for you and your dependents
• Pet Insurance: Competitive coverage for your furry family members through ASPCA
• Health Plan Enrollment: Eligibility starts first of the month following completing one full month of employment

Responsibilities

Principal Accountabilities & Deliverables

• Lead data engineering and operation projects, ensuring that they are completed on time, within budget, and according to best practices.
• Implement, execute, and collaborate with other teams and stakeholders to understand requirements and deliver effective data platform solutions.
• Demonstrate expertise in cloud technologies, particularly in Azure (ADF, ADLS, Synapse, VM, SQL Server, Eventhub, OpenAI, Azure AI Foundry, etc.)
• Provide expertise, guidance, and mentoring to other platform engineers across teams and across projects, as needed, in order promote development of internal skills, talent and experience in new technologies.
• Understand business processes and consider the business impact (including production support) when designing and implementing solutions.
• Serve as a technical expert and critical resource, providing guidance and support across internal and external teams
• Act as an internal consultant, advocate, mentor and change agent for various projects and teams
• Provide mentorship and technical leadership to data engineering and operation teams, fostering a culture of innovation and excellence
• Optimize platforms and services for performance and cost-effectiveness, leveraging cloud-native services and technologies
• Work closely with IT Security to ensure compliance with all security policies and requirements and respond to and address security concerns
• Manage cloud environments in accordance with company security guidelines
• Work closely with operation manager and operation teams to ensure smooth operations of our products and services, meeting all SLAs, audits, compliance and security requirements.
• Other duties as assigned

Qualifications

Education / Experience: 

• Bachelor’s degree in computer science, engineering, or related field (required)
• Minimum of 10 years' professional experience within IT that includes a minimum of five (5) years’ experience with SSIS, SQL servers, and Azure, specifically in data and AI technologies and services (required)
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Skills: 

• Working knowledge of applicable regulatory requirements (e.g., SOX, FERPA, GLBA, PCI, etc.) as they relate to data integrity and privacy
• Excellent presentation, written and verbal communication skills
• Excellent judgment, organizational and problem-solving skills; technical, project and leadership skills.
• Strong self-sufficiency and initiative working on database projects
• Excellent at identifying and marshaling resources for action
• Expert knowledge of databases and AI/ML technology and concepts
• Strong knowledge of virtual server technology
• Strong knowledge of system integration designs and architecture
• Strong knowledge in data warehouse and data management
• Broad knowledge of Windows system, operating system principles, and programming best pr