Data Engineer, VP - Systems and Data Engineering
Blackstone2 months ago
Base Salary
$160k - $225k/yr
Responsibilities
- Provide senior technical leadership and mentorship across enterprise data engineering initiatives.
- Guide engineering standards, design patterns, architectural reviews, and technology decisions for data platforms.
- Provide technical and operational leadership for scalable, secure, resilient, and cost-effective Snowflake platforms.
- Design and evolve data ingestion, transformation, orchestration, delivery, ETL/ELT, metadata, lineage, observability, and automation capabilities.
- Define and implement data quality standards, automated validation, monitoring, remediation, and reporting.
- Oversee production support, operational readiness, monitoring, alerting, service level objectives, and platform health metrics.
- Participate in on-call rotation and lead escalation, incident response, root cause analysis, and remediation for critical production events.
- Partner with engineering, infrastructure, cybersecurity, governance, architecture, and business teams on strategy, roadmaps, and platform investments.
- Influence engineering organizations through technical expertise and collaboration rather than direct people management.
Requirements
- 10+ years of experience in data engineering, platform engineering, or related disciplines.
- Significant hands-on experience with Snowflake in large-scale enterprise environments.
- Deep expertise in ETL/ELT architectures, data integration technologies, orchestration frameworks, and modern data platforms.
- Experience supporting business-critical production systems in a 24x7 environment.
- Strong background in data quality, observability, monitoring, and operational excellence.
- Experience with major incident response and driving operational improvements.
- Demonstrated ability to influence engineering organizations through technical leadership without direct authority.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred.
- Experience supporting analytics, reporting, artificial intelligence, and machine learning platforms preferred.
- Experience with infrastructure as code, CI/CD, DevOps, and platform automation practices preferred.
- Familiarity with data governance, lineage, metadata management, and regulatory requirements in financial services preferred.
- Experience working across globally distributed engineering organizations preferred.
Benefits
- Comprehensive medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, and a 401(k) plan.
- Discretionary bonuses and potential equity or other incentive compensation for eligible employees.
- The expected annual base salary range is $160,000-$225,000.
- Roles outside the United States follow a separate compensation process based on local market comparables.
Tech Stack
Snowflake
Categories
Data Engineering
About Blackstone
Blackstone is a public alternative asset manager that invests across real estate, private equity, credit, infrastructure, life sciences, secondaries, and hedge funds for institutional and individual investors. It raises and manages investment funds and earns management and performance fees tied to investment outcomes. Founded in 1985 and headquartered in New York, it reports over $1.3 trillion in assets under management and trades on the NYSE under the ticker BX.