Job Description
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.
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