Enterprise Data Architect

Wilson Elser - Business & Legal Professionals•New York, NY

About The Position

The Enterprise Data Architect is responsible for designing, developing, and governing the organization’s data architecture to ensure data is reliable, secure, scalable, and aligned with the business strategy. This role defines data models, integration patterns, standards, and governance frameworks to enable data product development, analytics, AI, operational reporting, and digital initiatives. This individual will be an integral member of the Data Services Team and will be responsible for the design and implementation of the enterprise-wide data architecture, ensuring the strategy supports the current and future business needs.

Requirements

Experience with implementing data architecture strategies that align with business
Strong knowledge of industry best practices around data architecture in both cloud-based and on-prem environments
Expertise in data governance, metadata management, and security frameworks
Strong knowledge of system design, microservices, SQL, APIs, data integration and cloud- based architectures (e.g., AWS, Azure, or GCP)
A comprehensive understanding of data warehousing and data processes and the supporting technologies such as Databricks, Azure Data Factory, DataLakes, other analytics products
Experience with modern programming languages (e.g., Java, Python, C#, or JavaScript)
Expertise with DevOps, CI/CD pipelines, and SDLC
Familiarity with security best practices and enterprise integration patterns
Excellent problem solving and technical documentation and presentation skills
Deep knowledge of data modeling (dimensional, relational, graph, NoSQL)
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
5-10+ years experience in data architecture, data engineering, or analytics platforms

Responsibilities

Oversee enterprise data architecture strategy, including conceptual, logical, and physical data models
Design and maintain end-to-end system architecture across applications, platforms, data warehouses/lakes, and integration architectures
Establish data standards, naming conventions, and architectural patterns for development teams
Evaluate and select data technologies (cloud platforms, databases, integration tools)
Ensure interoperability across applications, analytics platforms, and master data domains
Collaborate with engineering teams to implement scalable data models and pipelines
Partner with data governance on data ownership, stewardship, lineage, and metadata
Define data quality frameworks, validation rules, and monitoring approaches
Ensure compliance with regulatory and security requirements (PII, GDPR, HIPAA, )
Lead architectural reviews and provide guidance on complex design decisions
Ensure systems are secure, reliable, and optimized for performance and cost
Work with business stakeholders to translate requirements into data architecture solutions
Partner with data engineers, analysts, software engineers and product teams to enable advanced data use cases and provide architectural support
Mentor developers and engineers on architecture principles and design patterns
Develop multi-year data architecture roadmap aligned to business strategy
Assess current-state vs target-state architecture and prioritize initiatives
Support enterprise initiatives such as cloud migration, AI enablement, and MDM