Lincoln Center for the Performing Arts · 5 hours ago
Data Engineer - Enterprise Products
Lincoln Center for the Performing Arts is a global home for music, dance, theater, film, and culture. They are seeking a Data Engineer to design, build, and operate an enterprise data platform that powers analytics and reporting across the campus.
ArtEducationPerforming Arts
Responsibilities
Design, build, and operate scalable ETL/ELT pipelines on AWS supporting batch and near-real-time data use cases
Ingest and process data using AWS-native services such as S3, Glue, Lambda, Step Functions, and CloudWatch, alongside modern data tooling
Integrate data from enterprise systems including ticketing, CRM, fundraising, finance, marketing platforms, and web/app analytics
Develop dimensional and semantic data models in the warehouse that serve as trusted sources of truth across departments
Optimize data workflows for performance, reliability, and cost, including partitioning strategies, orchestration schedules, and compute usage
Implement data governance standards using AWS IAM and warehouse controls, including role-based access, masking, tagging, and metadata management
Partner with teams across Marketing, Business Development, Finance, and Programming to deliver high-impact data products such as cohorts, funnels, donor analytics, and event performance insights
Improve data quality and reliability through automated testing, monitoring, alerting, and clear data ownership
Reduce technical debt by automating manual processes, deprecating legacy pipelines, and standardizing data access patterns
Contribute to enterprise-wide data standards, documentation, and cloud best practices as the platform evolves
Qualification
Required
Minimum 5 years of experience in data engineering or closely related roles
Strong SQL skills (CTEs, window functions, performance tuning) and solid Python experience for data processing and testing
Hands-on experience with AWS data services, including S3, Glue, Lambda, IAM, and CloudWatch
Experience working with modern data warehouses and transformation tools such as Snowflake and dbt
Experience designing dimensional and semantic models, incremental pipelines, and slowly changing dimensions
Working knowledge of data governance concepts including RBAC/ABAC, masking, tagging, and PII handling (GDPR/CCPA)
Familiarity with workflow orchestration tools (Airflow or AWS-native equivalents)
Experience with CI/CD pipelines, Git-based version control, and infrastructure-as-code (Terraform or similar)
Company
Lincoln Center for the Performing Arts
Lincoln Center for the Performing Arts (LCPA) is a cultural and civic cornerstone of New York City.
Funding
Current Stage
Late StageLeadership Team
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