Top Data Architect Jobs in NYC, NY

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design and execute enterprise data architecture strategy, including logical, physical, operational, and analytical data models. Establish data management, governance, quality, privacy, and security standards while supporting scalable cloud data platforms. Collaborate with product owners, architects, engineers, data scientists, and business teams to translate requirements into data solutions. Lead modernization, legacy simplification, performance optimization, integration, streaming, and organizational change initiatives across insurance and financial services data environments.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); enforce data quality, observability, and secure handling of PII; optimize performance and publish curated data to downstream systems while collaborating with product, operations, and engineering teams.

Design and implement data management strategies, creating scalable data solutions, and collaborating with teams to address business challenges and ensure data integrity.

Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.

Design, govern, and optimize enterprise data architecture across cloud and on-prem platforms. Lead data modeling, ETL/ELT pipelines, metadata, lineage, API integrations, performance tuning, governance, and technical leadership for data engineers and stakeholders.

Design and implement scalable enterprise data architectures and models, lead data governance and privacy/compliance efforts, guide migration of fundraising CRM, provide technical leadership to data engineering teams, improve data quality and reliability, document architectures, and occasionally perform hands-on data engineering using Python, SQL, dbt, and Dagster.

The Data Architect will utilize data modeling tools, design data lakes, and ensure proper tuning of NoSQL models while managing object design and deployment scripting.

The role involves reverse engineering and optimizing complex database environments, analyzing database schemas, designing data models for efficiency, and administering enterprise databases.

Designs and evolves enterprise data architecture across master data governance, MDM, data warehousing, and analytics. The role establishes governance policies, stewardship models, data quality metrics, golden-record strategies, integration patterns, data lineage, and warehouse models. It supports SQL Server and Microsoft Fabric platforms, integrates ERP, CPQ, CRM, and other business systems, advises on tooling and architecture decisions, and collaborates with business and technical stakeholders across a multi-site manufacturing organization.

Lead design and delivery of scalable data infrastructure and pipelines for PwC Tax practice. Oversee data integration, transformation, validation, security, and compliance; drive innovation, client relationships, business development, mentorship, and strategic direction across multiple projects.

The Data Architect will design and evolve the architecture for the Consumer Canvas platform, ensuring data scalability, security, and privacy. Responsibilities include managing data ingestion, PII governance, and collaborating with cross-functional teams to develop and implement innovative data solutions.

Design and govern enterprise data architectures within the Informatica ecosystem. Lead data modeling, ETL/integration using Informatica tools, enforce data quality and governance, optimize performance, manage metadata and lineage, collaborate with stakeholders, document solutions, and train teams.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

The Data Architect will design data architecture, drive strategy for data warehousing, oversee reporting projects, and mentor the team while ensuring compliance with standards.

Lead the data team in building a data vault and warehouse on Snowflake, manage tasks, and ensure quality data through sprint cycles.

Support and architect clients' Azure data platforms and Power BI environments within Managed Services. Design Databricks Lakehouse and Delta Lake solutions, build and maintain data pipelines, advise on governance/licensing, resolve escalations, mentor junior staff, communicate with clients, create documentation, and promote best practices for HIPAA-compliant healthcare data solutions.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Salesforce Data Architect will lead complex data migration initiatives, ensuring data quality and governance while collaborating with stakeholders to implement scalable Salesforce solutions.

Lead design and governance of a large-scale AdTech data layer: model conceptual/logical/physical schemas, profile and map data flows, define batch and real-time ingestion and integration patterns, architect cloud-native AWS solutions (including graph/vector/RAG use cases), establish governance, and produce architecture artifacts and implementation roadmaps while collaborating with engineering, product, and cloud teams.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.

The Sr. Manager of Data Engineering & Analytics will define data strategy, oversee a data team, and build scalable data platforms, ensuring data quality and governance.

Lead enterprise data architecture for cloud-native data platforms: define strategy, roadmaps, and standards; design lakehouse and multi-region architectures; drive data governance, metadata, lineage, security, and observability; mentor teams and partner with product, engineering, and security to deliver scalable, trusted data products and platforms.