Senior Director, Data Architect

BNY

Data Delivery Engineer architecting and scaling modern data products at global financial services company. Leading enterprise-grade data solutions and influencing organizational technical decisions.

Posted 7/15/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $136,500 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering enterprise-scale data products and platforms, with a strong focus on data architecture, software engineering practices, and stakeholder collaboration. Proficient in modern data technologies and methodologies, ensuring solutions are scalable, reliable, and aligned with business objectives.

Highest-signal resume keywords

Data EngineeringSoftware EngineeringPython ProgrammingCI/CD PracticesData Architecture

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Hard Skills

Data EngineeringSoftware EngineeringPython ProgrammingSQLJavaScalaDistributed Data ProcessingData ModelingLarge-Scale Systems DesignInfrastructure Automation

Soft Skills

Strong CommunicationStakeholder ManagementMentoringInfluencing DecisionsCollaboration

Tools & Technologies

SnowflakeApache IcebergOracle ExadataAzureCI/CD ToolsVersion Control SystemsAutomated Testing FrameworksInfrastructure Automation Tools

Industry Keywords

Enterprise-Scale SolutionsData ProductsData PlatformsData GovernanceOperational Support

Tech Stack

Tools & technologies

ApacheAzureCloudJavaOraclePythonScalaSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Highly competitive compensation
Benefits and wellbeing programs
Flexible global resources
Generous paid leaves including paid volunteer time
Access to tools for health and financial goals