Top Data Architect Jobs in NYC, NY

The role involves designing and owning the architecture of a workforce intelligence platform on Snowflake, leading architectural decisions, and ensuring compliance for a Marketplace listing.

The Principal Data Architect will lead the development of a data architecture strategy, ensuring data availability, consistency, and smooth integration for analytics across teams. This role requires collaboration with various stakeholders to establish standards, governance, and hands-on contributions to data modeling and platform improvements.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.

The Data Architect will design scalable data solutions, enforce data standards, lead architecture discussions, and collaborate with stakeholders. Responsibilities include managing platforms, ensuring data compliance, optimizing pipelines, and guiding teams toward data-driven solutions.

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.

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

Responsible for developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.

The Principal Enterprise Data & Analytics Architect will design and modernize data architecture, guiding integration of cloud and on-premise solutions to enhance enterprise data management and analytics.

Lead design and implementation of the enterprise data platform: architect scalable warehouse/lakehouse solutions, build and optimize ETL/ELT pipelines, enforce data quality and governance, tune analytical workloads, and enable reporting and self-service analytics in support of BI and AI initiatives.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

The Data Architect will design and implement scalable data architectures and ETL frameworks on GCP, collaborating with business stakeholders to deliver actionable insights and ensuring data governance and security.

Lead enterprise information architecture by defining and executing the information management and enterprise data architecture roadmaps. Partner with business and IT stakeholders to design data models, integrate data stores/EDW/ODS, enable analytics and BI, and drive governance, data integration, and deployment practices. Mentor teams, influence cross-functional decisions, and support transformation efforts aligning data assets with corporate strategy.

Design and implement enterprise data architectures and lakehouse/warehouse solutions using Microsoft Fabric, Databricks or similar platforms. Lead data modeling, ETL/ELT pipelines, cloud integration, CI/CD, and stakeholder-facing consulting engagements to deliver scalable, secure analytics systems.

Own and implement the canonical data model and governance for a multi-tenant MEP SaaS platform. Architect data for AI/ML readiness (RAG, embeddings, vector search), design polyglot persistence and lake/lakehouse pipelines, lead staged modernization and migrations, produce hands-on prototypes and in-repo guardrails, and partner with platform, DB engineering, and ML teams to ensure data quality, lineage, and observability.

Seeking an experienced Data Architect / Data Modeler to design scalable data architectures and implement enterprise-wide data modeling initiatives in a Delta Lakehouse environment.

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.

The role encompasses leading the architecture and modernization of enterprise data structures, focusing on data governance, integration, and cloud platforms, while collaborating with different business units to enhance data usability and analytics.

Design and lead the enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Define standards, build lakehouse/warehouse/streaming patterns, integrate governance/catalog tools, ensure security and cost optimization, mentor engineers, and produce architecture artifacts for scalable, reliable, and compliant data products.

Lead design and implementation of Snowflake-based data architectures; serve as primary Snowflake POC. Design performant Snowflake solutions (data sharing, clean rooms, virtual warehouses, micro-partitions, zero-copy clone, time travel, resource monitors, security). Tune SQL and queries. Work with data virtualization (Starburst, Denodo), Hadoop ecosystem, and build data lakes on Cloudera Data Platform. Strong written and verbal communication.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

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.

The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.