Senior Director, Fellow, Data Architect

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
 

BNY is seeking a highly effective Data Delivery Engineer to architect, build, and scale modern data products and platform capabilities across a complex, multi-business environment. This role requires a strong blend of hands-on engineering execution, platform architecture, strategic roadmap leadership, and organizational influence.

The successful candidate will bring deep experience delivering enterprise-grade data solutions using modern technologies while also helping shape the target-state architecture for a scalable, resilient, and reusable data platform. This individual must be equally comfortable building software, driving technical direction, partnering across functions, and influencing platform decisions that extend beyond their immediate team. The position is location in New York, NY. 

Key Responsibilities

Engineering Delivery

• Design, build, test, deploy, and support high-quality data products and platform capabilities for enterprise use cases.
• Deliver scalable and reliable software solutions across batch, near-real-time, and event-driven data patterns, as needed.
• Apply strong software engineering discipline, including code quality, automated testing, CI/CD, observability, and documentation.
• Drive engineering excellence across the delivery lifecycle, with a focus on stability, maintainability, performance, and reuse.
• Ensure data solutions are production-ready and aligned to enterprise standards for security, resiliency, and operational support.

 

Data Product and Platform Development

• Build modern data products that are consumable, well-governed, and aligned to business and platform objectives.
• Contribute to the design and evolution of a large-scale, multi-business data platform supporting diverse data domains and consumption models.
• Define and implement scalable patterns for ingestion, transformation, storage, metadata, lineage, access management, and delivery.
• Develop reusable services, frameworks, and engineering patterns that accelerate delivery across teams.
• Support cloud and hybrid data architectures using modern storage and compute approaches.

 

Architecture and Technical Leadership

• Architect enterprise-scale data capabilities leveraging Snowflake, Apache Iceberg, Oracle Exadata, Azure, and other relevant technologies.
• Evaluate current-state architecture, identify opportunities for simplification and modernization, and recommend target-state solutions.
• Make sound design decisions that balance business outcomes, risk management, scalability, cost, and speed of execution.
• Contribute to enterprise engineering standards, architecture patterns, and platform guardrails.
• Lead through technical depth, strong judgment, and the ability to convert strategy into practical engineering outcomes.

 

Strategic Roadmap and Organizational Influence

• Translate business priorities and platform strategy into actionable technical roadmaps and delivery plans.
• Partner with product, architecture, infrastructure, security, governance, and business stakeholders to align on priorities and sequencing.
• Influence decisions across the broader organization through strong communication, partnership, and credibility.
• Identify and address technical debt, platform gaps, and delivery risks in a proactive and structured way.
• Contribute to longer-term platform strategy while ensuring strong near-term execution against commitments.

 

Collaboration and Leadership

• Work effectively across a matrixed organization and multiple lines of business.
• Build strong relationships with engineering teams, platform teams, a