Sr. Data Engineer (Hybrid)

Position Summary:

The Senior Data Engineer is a pivotal leader in the team, responsible for spearheading the implementation and maintenance of advanced data products that enable effective data movement and transformation across integrated systems. With extensive expertise in technologies associated with the enterprise data warehouse, this role ensures optimal efficiency in data processing, storage, and retrieval. Acting as a key contributor to major data-driven initiatives, the Senior Data Engineer also plays a vital mentorship role, guiding mid-level and associate staff to enhance the team's overall capabilities and foster a culture of continuous learning and development.

About the Work Unit:

Vanderbilt University Information Technology is a human-centric organization that advances our university by delivering innovative solutions and frictionless experiences through collaboration.

Key Functions and Expected Performance:

Leadership in Data products Implementation

• Lead the design and implementation of innovative data products for data movement and transformation in complex systems.
• Collaborate with stakeholders to understand business needs and translate them into effective data architecture and data products.

Data Optimization and Performance Monitoring

• Ensure optimal data processing, storage, and retrieval by establishing and monitoring key performance indicators (KPIs) for data products.
• Identify areas for enhancement and implement strategies to optimize data workflows and operations, improving overall system efficiency.

Strategic Project Involvement

• Take a proactive role in managing and contributing to key data-driven initiatives and projects, ensuring alignment with organizational goals and objectives.
• Facilitate the deployment of new technologies and methodologies to advance the organization’s data capabilities.

Mentorship and Team Development

• Mentor and provide guidance to mid-level and associate data staff, improving their technical skills and knowledge in data products and best practices.
• Foster an environment of collaboration and knowledge sharing within the team, encouraging professional development and innovation.

Quality Assurance and Documentation

• Oversee quality assurance processes for data products, ensuring adherence to standards and compliance requirements.
• Maintain detailed documentation of data architectures, processes, and methodologies for future reference and training purposes.

On-call Responsibilities:

The position includes rotating on-call duties for after-hours incident response and requests.

Supervisory Relationships:

This position does not have supervisory responsibility. This position reports administratively and functionally to the Data Engineering Manager.

Education and Certifications:

• Bachelor’s degree or equivalent, related experience necessary
• Bachelor's degree in computer science, Information Technology, Data Science, or a related field preferred
• At least one relevant industry certification (e.g., SnowPro Core, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or similar) necessary

Experience and Skills:

• 5-7 years of related experience necessary
• Demonstrated commitment to VUIT’s Guiding Principles is necessary
• Expert-level proficiency in SQL and experience with data modeling and complex queries necessary
• Strong familiarity with ETL processes, data integration tools, and data warehousing technologies using Snowflake Data Cloud necessary
• In-depth knowledge of big data technologies and cloud data platforms (e.g., AWS, Azure, Google Cloud) necessary
• Proven track record in optimizing data pipelines and improving data management efficiency necessary
• Excellent analytical and problem-solving abilities, with experience troubleshooting complex data issues necessary
• Strong leadership and interpersonal skills, with the ability to mentor and develop junior team members necessary
• Effective communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders necessary

Information Technology’s Guiding Principles:

• Trust and Respect- VUIT cultivates a community built on trust, mutual respect, and inclusivity, where all members feel valued and supported. We prioritize honesty, dignity, empathy, and a willingness to listen and understand. 
• Professionalism- VUIT strives to maintain a culture of maturity, accountability, and integrity to best represent the University and self. Have a sense of humility and poise in your work and daily interactions.
• Collaborate- VUIT commits to being inclusive in solution design where we value sharing within and partnering across the university. We are intentional about including our colleagues and preventing silos. 
• Bias-to-Action- VUIT is seen as a changemaker by exhibiting a decisive, self-starter, take-action approach with a willingness to make decisions without excessive deliberation. Personal initiative is recognized as a key part of the creative process.
• Communicate- Communication (written, verbal and non-verbal), within and outside VUIT, is open, thoughtful, welcoming, clear, proactive, concise yet complete, always honest, and delivered kindly.
• Innovate- VUIT pledges to be bold and challenge the status quo by inspiring a culture of creativity that promotes growth and advancement for the university. 
• Celebrate Each Other- We are intentional in showing appreciation for the work of others by valuing and acknowledging meaningful contributions at all levels of the organization.
• Optimize- VUIT will practice continuous and thoughtful optimization of our solutions and services to increase our human and technological capacity. Capacity drives innovation.