Senior Data Engineer (Snowflake, Python, Enterprise Data Platform) | Global PE

A leading global alternative investment firm is hiring a Senior Data Engineer to join its Data Governance & Enterprise Data team.

This is a high-impact, hands-on engineering role focused on building scalable, production-grade data pipelines and warehouse architecture that support finance, investment, and operational stakeholders across the firm.

This is not a reporting-only or policy-focused governance role. This is a true data engineering position with ownership over architecture, modeling, and data quality design.

What You’ll Do

• Design, build, and maintain cloud and on-prem data pipelines
• Develop scalable, production-grade Python-based data workflows
• Write advanced SQL for transformation, modeling, and optimization
• Design and implement dimensional data models (Kimball/star schema)
• Build and optimize Snowflake (or similar cloud warehouse) environments
• Implement orchestration using tools such as Airflow or dbt
• Partner directly with finance and operational teams to translate business requirements into scalable data solutions
• Embed governance, metadata, and data quality controls into data architecture
• Support business-facing SaaS platforms and BI/reporting tools (Power BI preferred)
• Improve pipeline performance, reliability, and monitoring

What We’re Looking For

Required

• Professional experience in data engineering or software engineering
• Strong Python for data processing and automation
• Advanced SQL and deep understanding of data warehouse design
• Hands-on experience with Snowflake, Redshift, BigQuery, or similar platforms
• Experience with Airflow, dbt, or comparable orchestration tools
• Proven experience designing dimensional models (Kimball methodology preferred)
• Experience building data solutions that support business stakeholders
• Strong communication skills and ability to operate in cross-functional environments

Preferred

• Experience with data governance and data quality frameworks
• Exposure to streaming technologies (Kafka, Spark Streaming, Flink)
• Experience working in Agile environments
• Familiarity with APIs, web scraping, and modern data integration practices
• Financial services or asset management experience

Why This Role?

• High visibility across finance and investment teams
• Ownership over architecture and design decisions
• Exposure to enterprise-scale data initiatives
• Competitive compensation plus performance bonus and profit sharing
• Collaborative, performance-driven environment

Compensation

• Base salary + 15% target bonus
• Profit sharing contribution
• Comprehensive benefits package

If you’re a technically strong data engineer who enjoys building scalable systems and working closely with business stakeholders, we’d welcome the opportunity to connect.