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Cloud Data Platform Engineer II (CEMI)

$124.3k - $137.1k

Weill Cornell Medicine

Title: Cloud Data Platform Engineer II (CEMI)

Location: Midtown

Org Unit: Business Intelligence

Work Days:

Weekly Hours: 35.00

Exemption Status: Exempt

Salary Range: $124,300.00 - $137,100.00

*As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices

Position Summary

The Cloud Data Platform Engineer II is responsible for supporting and maintaining cloud-based data platforms, including system administration, data integration, and backend development. This role focuses on managing platform performance, security, and data pipelines while supporting scalable data solutions across cloud data warehouses.

This is a term position anticipated to be needed through Fall 2028 but may be ended or extended based on organizational needs, funding availability, and performance.

Job Responsibilities

  • Administer and support platforms like Snowflake & Redshift, including user access, roles, security, and performance tuning.
  • Monitor system performance, usage, and cost, and implement optimization strategies.
  • Develop and maintain ETL/ELT pipelines to integrate data across enterprise and cloud platforms.
  • Design and support backend data models to enable scalable reporting and analytics.
  • Support data movement and integration using tools such as Informatica and cloud-native services.
  • Manage job scheduling, monitoring, and troubleshooting for data pipelines and workflows.
  • Implement and maintain data governance, security, and access control standards.
  • Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
  • Troubleshoot platform and data issues, and implement continuous improvements.
  • Document system configurations, data flows, and operational procedures.

Education

  • Bachelor's Degree in Computer Science or related field preferred
  • equivalent work experience will be considered.

Experience

  • Minimum of 8–10 years of hands-on experience in cloud data platforms, data engineering, or related field
  • Strong hands-on experience with Snowflake & Redshift platform administration and development
  • Experience with other cloud data warehouses such as Amazon Redshift or similar technologies
  • Experience with ETL/ELT tools such as Informatica
  • Experience with data modeling and backend data architecture
  • Strong SQL skills including query optimization and performance tuning
  • Experience with data pipeline development, scheduling, and monitoring
  • Experience managing platform security, access roles, and governance
  • Hands-on experience with Snowflake/Redshift administration, including warehouse management, workload monitoring, and query performance tuning.
  • Experience managing environments (e.g., dev, test, production) and supporting deployment and release processes.

Knowledge, Skills and Abilities

  • Strong problem-solving skills to diagnose and resolve platform, data pipeline, and performance issues.
  • Ability to administer cloud data platforms, including managing users, roles, security policies, and access controls.
  • Ability to optimize platform usage and cost through resource governance, workload management, and usage monitoring.
  • Knowledge of data governance practices, including data security, access auditing, and compliance requirements.
  • Solid understanding of ETL/ELT processes, data integration, and data lifecycle management.
  • Ability to collaborate with technical and business teams and adapt to evolving cloud technologies.

Licenses and Certifications

  • Snowflake, AWS or data platform certifications are a plus

Working Conditions/Physical Demands

Position requires working in an office environment where there some physical discomforts such as dust, dirt, noise, and the like are present. Ability to work off-hours and weekends for go-lives, testing and emergencies, as well as travel between office locations, primarily within NYC is required. Occasional meetings or clinical staff interactions in typical patient care areas may be required though direct patient exposure is not expected. Occasional moving of computer equipment or similar objects up to approximately 50lbs may be required to expedite projects.

Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Vacancy posted 1 day ago
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