State Street
Investment Management
DataPlatformEngineeringLead-VicePresident
Neural analysis suggests this role is
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“Data Platform Engineering Lead - Vice President at State Street. Skills: Data Platform Architecture, Data Engineering, Cloud Architecture, Team Leadership. Architecture, delivery, and operational excellence of modern data platform and software capabilities. Support the execution of the target architecture and roadmap for a cloud-native data platform”
What You'll Achieve.
Reliability, scalability, and operability; Support reliable performance across compute engines; Meeting governance and compliance requirements; Delivery quality; Operational discipline
Industry & Context.
Design, debug, and optimize distributed data processing; Tune and troubleshoot Spark (batch and streaming), including performance and cost optimization; Optimize pipeline and query performance; Incident response; Root-cause analysis
What They're Looking For.
Must Have
15+ years in software/data engineering, including technical leadership for large-scale data, BS/MS in Computer Science/Engineering (or equivalent experience), Demonstrate communication and stakeholder influence architecture decisions across engineering, product, security, and enterprise architecture, Demonstrate experience leading a multi-team engineering organization with end-to-end accountability for delivery, quality, and operations, Write production-grade Python and SQL (Java/Scala a plus); design, debug, and optimize distributed data processing, Tune and troubleshoot Spark (batch and streaming), including performance and cost optimization, Build and operate lakehouse platforms using Snowflake and Databricks on AWS (GCP or Azure acceptable) for high-concurrency analytics
Nice to Have
Prior data platform engineering experience in a financial institution (asset management preferred), Work with structured and alternative/unstructured data sources and their processing patterns (batch, streaming, and event-driven), Leverage AI-assisted coding tools (e. g. , GitHub Copilot, Claude Code) to improve developer productivity while maintaining code quality
What You'll Do.
and operational excellence of modern data platform and software capabilities
Support the execution of the target architecture and roadmap for a cloud-native data platform
Implement and enhance shared platform capabilities for data ingestion
and metadata management
Design and optimize Apache Iceberg tables
Apply and uphold engineering standards for CI/CD
and SMEs to implement data semantics and data product contracts
Build curated semantic models (marts/serving models) and deliver governed BI endpoints and consumption APIs
Optimize pipeline and query performance
Lead day-to-day platform operations for owned services
Lead and mentor a team of engineers or a platform pod
Coordinate with outsourcing partners on assigned deliverables
How You'll Work.
Team & Collaboration
Partner with global teams and stakeholders across regions and time zones; Partner with Product, Analytics, ML, and SMEs; Coordinate with outsourcing partners
Communication Scope
Demonstrate communication and stakeholder influence architecture decisions across engineering, product, security, and enterprise architecture
Process & Methodology
Track capacity, Support milestone-based execution
Full Job Description
**VP - Data Platform – Capability Engineer** **Role Summary** State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking a Senior Data Platform & Software Engineering Principal (Vice President) for our Bangalore, India office. This leadership role is accountable for the architecture, delivery, and operational excellence of modern data platform and software capabilities that power the investment management business. The role partners with global teams and stakeholders across regions and time zones to align priorities and execute consistently. The successful candidate brings deep hands-on expertise in large-scale data platform architecture, distributed computing, data pipeline engineering, and modern cloud architecture, and will hire, build, and mentor a high-performing engineering team. **Key Responsibilities** * Support the execution of the target architecture and roadmap for a cloud-native data platform across ingestion, transformation, storage, governance, and secure access. * Implement and enhance shared platform capabilities for data ingestion, transformation, governance, job orchestration, and metadata management with a focus on reliability, scalability, and operability. * Design and optimize Apache Iceberg tables, including partitioning, compaction, and metadata management, to support reliable performance across compute engines. * Apply and uphold engineering standards for CI/CD, IaC, automated testing, schema/versioning, data quality, and observability across the team’s deliverables. * Partner with Product, Analytics, ML, and SMEs to implement data semantics and data product contracts (schemas, SLAs, documentation, versioning) for assigned platform capabilities while meeting governance and compliance requirements. * Build curated semantic models (marts/serving models) and deliver governed BI endpoints and consumption APIs for priority business and platform use cases. * Optimize pipeline and query performance using partitioning/
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