Data Operations Engineer
HybridWest Lafayette, Indiana, United States
Job Summary
Design and implement scalable data pipelines and integration frameworks enabling reliable data exchange across campus systems, cloud platforms, and APIs. Manage medium to large data initiatives while maintaining monitoring practices to improve pipeline reliability and deliver dependable, scalable solutions. Analyze complex data challenges, identify root causes, and implement solutions that improve overall ecosystem performance through performance tuning and automation. Partner with business and technical stakeholders to align data solutions with strategic objectives, ensuring data is accessible, trusted, and actionable. Provide technical leadership for enterprise data engineering and operations initiatives, guiding team members through coaching and skill development. Evaluate and recommend tools, technologies, and architectural approaches to enhance data capabilities and operational effectiveness.
Required Qualifications
- Hybrid position with requirements to live within reasonable driving distance (within 1 hour) of West Lafayette, Indiana
- Deep understanding of data warehousing (Snowflake Platform) and large-scale data processing
- Strong understanding of enterprise data architecture principles
- Strong programming and scripting skills (e.g., Python, Shell)
- Ability to evaluate complex systems and recommend effective, scalable architectural solutions
- Strong knowledge of enterprise data governance and data quality practices
- Demonstrated ability to manage medium to large cross-functional projects and coordinate successful delivery across teams
- Ability to translate strategic objectives into technical solutions and actionable plans
- Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders across the organization
- Build collaborative relationships across functional teams to coordinate data operations efforts and support successful project delivery
- Strong organizational and problem-solving skills, with the ability to manage competing priorities in a dynamic environment
- 3-5 years experience working with enterprise data integration, ETL/ELT development, data pipelines, and data platforms required
- Bachelor's degree required
- Experience with Snowflake platform required
- Advanced proficiency in SQL and strong experience with complex data structures, relational and dimensional modeling
- Advanced experience designing and implementing scalable ETL/ELT pipelines and data integration frameworks
- Experience with metadata management and data privacy principles
Desired Qualifications
- Demonstrated expertise with Salesforce CRM and Python preferred
- Experience with Informatica or Skyvia preferred
- Experience working in academic, non-profit, or advancement operations environment is highly desirable
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