Senior Director, Fellow, Data Architect

BNY Mellon•New York, NY

28d•$136,500 - $300,000•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Significant experience in data engineering, software engineering, or data platform engineering.
Proven ability to deliver enterprise-scale data and software solutions in complex environments.
Strong hands-on experience with modern data technologies
Strong proficiency in Python, SQL, and at least one additional language such as Java or Scala.
Experience with distributed data processing and pipeline design using modern frameworks and tooling.
Experience with DevOps and software delivery practices including CI/CD, version control, automated testing, and infrastructure automation.
Strong understanding of data architecture, data modeling, large-scale systems design, and platform engineering concepts.
Demonstrated ability to influence technical decisions across teams and functions.
Strong communication and stakeholder management skills.

Nice To Haves

Experience building shared or multi-tenant enterprise data platforms.
Familiarity with open data ecosystem technologies such as Parquet, Delta Lake, or similar table and storage formats.
Experience with orchestration and workflow technologies such as Airflow or equivalent tools.
Experience with streaming and event-driven technologies such as Kafka or similar platforms.
Familiarity with containerization and cloud-native deployment approaches such as Kubernetes.
Experience with metadata, lineage, data quality, and governance tooling.
Experience operating in highly regulated, large-scale enterprise environments.
Exposure to modern data operating models, including data products, domain-oriented ownership, or data mesh-aligned patterns.

Responsibilities

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.
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.
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.
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.
Work effectively across a matrixed organization and multiple lines of business.
Build strong relationships with engineering teams, platform teams, architects, and business partners.
Communicate complex technical topics clearly to both technical and non-technical stakeholders.
Mentor team members and help elevate engineering and delivery practices across the organization.
Demonstrate ownership, accountability, curiosity, and a strong bias for execution.