Related skills
bigquery redshift snowflake sql python📋 Description
- Define target-state architecture for investments data and analytics-ready platforms.
- Partner with senior leaders across Investments, Technology, Finance, Risk, and Governance.
- Modernize legacy data environments with scalable, cloud-aligned patterns.
- Develop enterprise-grade investment data products and semantic models.
- Build and lead a high-performing data engineering team.
- Establish best practices for data architecture, testing, observability, and governance.
🎯 Requirements
- 16+ years in data engineering/architecture with leadership of large-scale platforms.
- Bachelor’s degree in CS/Engineering/IS; advanced degree preferred.
- Deep domain expertise in investment management or financial services.
- Proven record leading data modernization; Snowflake/BigQuery/Redshift/Databricks preferred.
- Strong experience designing data models, ETL/ELT pipelines, and analytics platforms.
- Expertise in SQL, Python, cloud ecosystems, orchestration tools, and lakehouse architectures.
🎁 Benefits
- Equal opportunity employer.
- Reasonable accommodations available on request.
- Accommodations emailed to Benefits@kkr.com.
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