Lead Data Engineer

Job not on LinkedIn

🔥 54 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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University HUB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

💼 Consulting

✈️ Travel

📚 Education

Consulting • Travel • Education

University HUB is an education technology platform that connects international students and recruitment partners with opportunities at top universities worldwide. The company provides comprehensive support for students aiming to study abroad, including counselling, application reviewing, visa assistance, and post-arrival services. University HUB offers free IELTS and Duolingo coaching, financial aid for tuition, and recruitment solutions to help students start their careers. With partnerships across 75+ institutions globally, University HUB facilitates a seamless study abroad experience for students, making international education accessible and hassle-free.

📋 Description

• Own the end-to-end architecture, implementation, and evolution of the Snowflake-based data lakehouse across bronze, silver, and gold layers • Define and lead the pipeline strategy • Design and build ELT processes ingesting and transforming data from SQL Server, Workday, and cloud-based services using dbt Core • Lead migration away from legacy data logic and infrastructure • Establish and enforce data modeling standards, schema conventions, and medallion architecture best practices • Own Snowflake security, role-based access controls, and data governance in compliance with FERPA and institutional policy • Automate and orchestrate data workflows using Python and Prefect with Azure-based services • Collaborate with data consumers to ensure accurate, timely, and usable data • Monitor and troubleshoot Snowflake environments, optimize query performance, and resolve pipeline issues • Document system architecture, data flows, and technical configurations • Evaluate Snowflake, dbt, and ecosystem tools to improve scalability, automation, and maintainability • Lead, mentor, and grow a high-performing data engineering team • Perform other duties as assigned • Report under the general supervision of the Chief Information Officer (CIO) • Collaborate with software engineers, institutional research, Power BI developers, and the Office of Innovation and Enhancement

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a closely related field • Minimum of 3 years of hands-on experience administering and managing a Snowflake environment, including configuration, optimization, and security • Experience delivering a full data lakehouse end-to-end from the ground up at meaningful scale, including 5+ source systems, enterprise-scale data volumes, architecture decisions, schema design, medallion architecture, data governance framework, and migration from legacy systems • Proficiency with Snowflake environments, data loading, Snowflake SQL, Streams, Tasks, transformation, and security management • Hands-on experience with dbt Core or dbt Cloud, including model development, testing, documentation, and production deployment • Strong experience developing ELT solutions integrating cloud and on-premises data sources • Experience with Fivetran or a comparable managed EL platform is strongly preferred • Solid SQL skills and hands-on experience with Microsoft SQL Server • Experience using Python for data transformation, orchestration, and automation • Experience with a workflow orchestration platform required; Prefect strongly preferred • Familiarity with Workday reporting data or similar ERP/SaaS data platforms preferred • Working knowledge of cloud environments, especially Azure • Experience supporting business intelligence solutions using tools such as Power BI • Understanding of data governance and security frameworks, including FERPA compliance • Strong communication skills and ability to articulate architectural priorities, manage stakeholder expectations, and push back on requests conflicting with platform strategy or engineering best practices • Must be authorized to work for any employer in the United States; employment visa sponsorship is unavailable

🏖️ Benefits

• Student-focused work environment • Opportunity to contribute to intellectual and spiritual growth, leadership, and service • Opportunity to build and lead a data engineering team • Full-time employment