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.
Origin Staffing is a specialized recruiting firm delivering high-impact direct-hire solutions across Accounting, Finance, Audit, Tax, Advisory, and Business Transformation. We partner closely with both clients and candidates to understand nuanced needs across industries including Technology, Life Sciences, Financial Services, and Professional Services. Learn more about our recruiting expertise, explore insights on our blog, or contact us to discuss how we can support your hiring or career goals.
Apply tot his job
Apply To this Job
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.
Origin Staffing is a specialized recruiting firm delivering high-impact direct-hire solutions across Accounting, Finance, Audit, Tax, Advisory, and Business Transformation. We partner closely with both clients and candidates to understand nuanced needs across industries including Technology, Life Sciences, Financial Services, and Professional Services. Learn more about our recruiting expertise, explore insights on our blog, or contact us to discuss how we can support your hiring or career goals.
Apply tot his job
Apply To this Job