Data Engineer, VP - Systems and Data Engineering at Blackstone in New York, NY

Job description

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com . Follow @blackstone on LinkedIn , X (Twitter) , and Instagram . The Vice President, Data Engineering will be a key senior technical contributor to the engineering, delivery, reliability, and operational excellence of BXTI's enterprise data platforms and pipelines. This role provides technical leadership and hands-on expertise across Snowflake, data engineering, data quality, data operations, and platform support functions. The successful candidate will help advance engineering best practices, operational excellence, platform reliability, and continuous improvement while partnering closely with business stakeholders, application development teams, architecture, infrastructure, security, and data governance functions. This individual will operate as a senior hands-on technical leader and trusted contributor, offering architectural guidance, engineering direction, and operational expertise across multiple teams and initiatives without direct people management responsibility. Key Responsibilities Technical Leadership Contribute as a senior technical leader to enterprise data engineering initiatives. Help establish engineering standards, design patterns, and best practices across data platforms and services. Provide technical leadership and mentorship to engineering teams across BXTI. Participate in architectural reviews and help guide key technology decisions related to data platforms and services. Partner with technology and business stakeholders to translate strategic requirements into scalable and supportable solutions. Lead investigations into Production incidents involving the data platform. Snowflake Platform Leadership Contribute technical and operational leadership for Snowflake-based data platforms. Support platform scalability, performance, security, resiliency, and cost optimization initiatives. Collaborate with various internal teams to ensure alignment with firm standards. Data Engineering, ETL, and Pipelines Contribute to the design and evolution of enterprise data ingestion, transformation, orchestration, and delivery platforms. Establish standards for ETL/ELT development, metadata management, lineage, observability, and automation. Drive adoption of engineering practices that improve reliability, maintainability, and operational efficiency. Promote reusable frameworks and common services that accelerate delivery and reduce operational risk. Data Quality and Governance Help define and champion enterprise data quality standards and controls. Drive implementation of automated data validation, monitoring, and remediation processes. Partner with technical and business teams to improve lineage, stewardship, consistency, and trust in critical datasets. Establish metrics and reporting to measure data quality and platform effectiveness. Data Operations and Reliability Provide technical oversight of production support, operational readiness, and platform reliability in partnership with the broader team. Contribute to efforts to improve monitoring, alerting, observability, and operational automation. Support root cause analysis and remediation activities for significant production incidents. Define and track service level objectives, operational metrics, and platform health indicators. On-Call and Incident Management Participate in the data engineering on-call rotation. Help support coverage, escalation procedures, and incident response processes in collaboration with the broader organization. Act as a senior escalation point during critical productio