Vice President - Lead Data Engineer (Data Cloud Platform)
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Responsibilities
- Define and execute the data engineering strategy for batch and real-time pipelines, ensuring scalability, reliability, and cost efficiency.
- Lead development of event-driven architectures leveraging streaming platforms (e.g., Kafka) and modern processing frameworks.
- Drive enterprise data modeling standards (conceptual, logical, physical) and promote reusable, domain-aligned data products.
- Establish robust data governance, quality, lineage, and observability practices across the platform.
- Oversee end-to-end data lifecycle management, from ingestion through consumption and archival.
- Partner with cross-functional teams to align platform capabilities with business and investment use cases.
- Promote engineering excellence through CI/CD, automation, and standardized development practices.
- Leadership & Impact
- Provide technical leadership, mentorship, and direction to high-performing data engineering teams.
- Influence enterprise architecture and platform strategy decisions.
- Drive adoption of scalable, reusable, and standardized data solutions across the organization.
- Ensure alignment between data engineering initiatives and business outcomes, particularly in financial services and investment domains.
Requirements
- Extensive experience in data engineering, distributed systems, and modern data platforms (e.g., Snowflake).
- Strong expertise in SQL and programming (Python, Java, or Scala).
- Proven track record of building and scaling production-grade data platforms and pipelines.
- Experience with streaming and event-driven architectures.
- Deep understanding of data modeling, governance, and data quality frameworks.
- Prior experience in financial services or asset management preferred.
Benefits
Additional Information
About this role Vice President - Lead Data Engineer (Data Cloud Platform) The Vice President - Lead Data Engineer will drive the strategy, architecture, and delivery of next-generation data engineering capabilities on the enterprise Data Cloud Platform. This role is responsible for building scalable, governed, and event-driven data ecosystems that power investment, analytics, and reporting platforms with high-quality, near real-time data. Role Overview Lead the design and delivery of enterprise-grade data pipelines and domain-oriented data products. Champion modern data architecture patterns, including event-driven and streaming frameworks. Establish and enforce data-as-a-product principles, standardized data models, and governance frameworks. Serve as a senior technical leader partnering across engineering, product, and platform organizations.
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Company Intel
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