BNY · 1 month ago
Senior Vice President, Full Stack Data Engineer
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$116K/yr - $220K/yr
10+ years expBNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. They are seeking a Senior Vice President, Full-Stack Data Engineer to join their Engineering Hub Analytics team, responsible for designing and building production-grade data pipelines and infrastructure that support AI and analytics capabilities.
Big DataFinanceAnalyticsAsset ManagementData ManagementData VisualizationFinancial Services
Responsibilities
Design, build, and harden production data pipelines, ELT/ETL workflows, and data platform components across client engagements — moving confidently from prototype to scalable, observable production deployment
Embed with business and platform stakeholders to scope and execute time-boxed data engineering engagements with clear entry and exit criteria; translate defined data opportunities into production-ready delivery plans
Architect and implement data infrastructure across ingestion, transformation, serving, and governance layers using modern tooling (dbt, Airflow/Prefect, Spark, Snowflake, Databricks, cloud-native services)
Build and integrate data pipelines that feed AI and analytics systems — including feature stores, RAG knowledge bases, semantic search indexes, and LLM context pipelines
Default to reuse-first delivery: extend existing data platform patterns, templates, and pipeline modules rather than building avoidable one-offs; contribute reusable data assets back to shared repositories
Apply data quality, observability, and operational readiness practices consistently — including lineage tracking, schema validation, SLA monitoring, and alerting
Execute discovery with data owners, analytics teams, and sponsors to clarify data contracts, validate feasibility, and rapidly prototype before hardening into production
Prepare clear handoff packages and transition plans — including data dictionaries, lineage documentation, pipeline runbooks, and ownership transfer artifacts — so receiving teams can sustain solutions independently
Surface reusable data patterns and learnings from engagements that can be standardized and promoted into shared platform capabilities
Coordinate with architecture, security, compliance, and governance stakeholders to ensure data solutions are production-appropriate, lineage-traceable, and governance-compliant
Mentor junior data engineers; contribute to team delivery quality, standards, and knowledge sharing
Qualification
Required
Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree is beneficial
10-14 years of diverse experience in multiple areas of information technology required; experience in the securities or financial services industry is a plus
Mentors junior data engineers within engagements; contributes to team delivery quality, pipeline standards, and knowledge sharing
Deep experience designing and operating production ELT/ETL pipelines, data warehouse/lakehouse architectures, and cloud data infrastructure
Hands-on experience with modern data tooling: dbt, Airflow or Prefect, Spark, Snowflake or Databricks or BigQuery, and cloud-native data services (AWS, Azure, or GCP)
Experience working across the full data stack — ingestion, transformation, serving, governance, and quality — rather than only within a single layer
Experience delivering data infrastructure that feeds AI/ML systems, including feature engineering pipelines, vector stores, RAG knowledge pipelines, or LLM context preparation workflows
Experience operating in regulated environments (financial services, healthcare) with data governance, lineage, and compliance requirements
Strong data modeling judgment: dimensional modeling, data vault, OBT patterns — knowing when to apply which and why
Comfort operating in ambiguity and driving data discovery with senior stakeholders and data owners
Experience with metadata management and governance platforms (Collibra, DataHub, OpenMetadata)
Familiarity with real-time and streaming data patterns (Kafka, Kinesis, Flink) as a complement to batch workloads
Experience balancing pipeline velocity with data quality, observability, and SLA commitments
Strong Java\Python engineering skills for pipeline development; SQL fluency (T-SQL, PL/SQL, or equivalent) for transformation and analysis
Experience with dbt for transformation layer development and testing
Proficiency with orchestration tooling: Airflow, Prefect, or equivalent
Cloud data platform experience: Snowflake, Databricks, BigQuery, or Redshift in production
Familiarity with cloud infrastructure relevant to data workloads: AWS (Glue, Lambda, Step Functions, S3, Redshift), Azure (Data Factory, Synapse, ADLS), or GCP (Dataflow, BigQuery, Cloud Composer)
Data quality and observability tooling: Great Expectations, Monte Carlo, dbt tests, or equivalent
Version control, CI/CD, and DevOps practices applied to data pipeline development (DataOps)
Strong written and verbal communication across technical and non-technical audiences, including data owners, analytics consumers, and platform stakeholders
Clear data product and delivery judgment within a scoped engagement
Ability to coordinate and execute across stakeholders — data owners, platform engineers, analytics teams — without formal authority
Practical tradeoff thinking: pipeline complexity vs. maintainability, freshness vs. cost, schema flexibility vs. governance
Bias toward action with disciplined follow-through on data quality and operational readiness
Benefits
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
We provide access to flexible global resources and tools for your life’s journey.
Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
Commission earnings
Discretionary bonuses
Short and long-term incentive packages
Company-sponsored benefit programs
A range of family-friendly, inclusive employment policies and employee forums
Company
BNY
BNY is a global financial services platforms company at the heart of the world’s capital markets.
10001+ employees
H1B Sponsorship
BNY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
100%
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2021 (3)
Funding
Current Stage
Late StageLeadership Team
Brian A. Ruane
CEO Government Securities Services & Global Client Management
Chris Kearns
CEO, Depositary Receipts
Recent News
2026-06-01
2026-05-28
Company data provided by crunchbase