Top Data Architect Jobs in NYC, NY

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.

The Data Architect will shape the data architecture and reporting strategy, ensuring data governance and developing scalable data solutions on Azure services.

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.

Lead assessment, tool evaluation, architecture and enterprise implementation of data masking solutions using Informatica DM. Provide design, recommendations, and anchor deployments across the organization.

Lead design and execution of data migration strategies for Salesforce Revenue Cloud (CPQ & Billing). Define data architecture, mappings, and transformation logic; build SQL-based extraction and ETL processes; perform iterative test loads, reconciliation, and validation. Collaborate with clients and cross-functional teams to manage cutovers, documentation, and migration quality for quote-to-cash data.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

The Data Solutions Architect at MANSCAPED will manage the enterprise data architecture, ensure security and scalability, and support BI reporting and advanced analytics.

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

Design and govern integration data architectures across platforms (eCommerce, CRM, Supply Chain, third-party integrations). Define data flows and models, enforce data governance and security, produce design specs, perform architectural and code reviews, troubleshoot complex integration problems, and collaborate with engineers, product owners, and vendors to deliver scalable data integration solutions.

As a Data Architect II, you will design and deliver data products, develop data models, and guide architecture decisions to enhance member journey analytics and reporting at Hagerty.

Senior hands-on tech lead/solution architect for Banking & Capital Markets driving client relationships, solution design, proposals, and delivery of data modernization, streaming, and cloud-based data platforms. Leads cross-functional teams, mentors staff, supports revenue growth through upsell/cross-sell, and provides industry thought leadership and technical strategy.

Design and architect large-scale distributed big data solutions. Develop, test, and deploy Spark/Scala applications, build ETL pipelines with Cloudera Hadoop components, optimize Spark and platform performance, ensure data integrity and security, and implement version control and CI/CD for data processing workflows while collaborating with data scientists and analysts.

Design and architect large-scale distributed big data solutions using Java, Spark, and Scala. Build and optimize ETL pipelines and Spark applications on the Cloudera Hadoop ecosystem (HDFS, Hive, Impala, HBase, Kafka). Ensure data integrity, performance tuning, CI/CD for Spark apps, and collaborate with data scientists and analysts to deliver analytics solutions.

Lead design and implementation of enterprise data architecture and process-engineered data workflows. Drive integration, modeling, ETL/ELT, governance, compliance (GDPR/HIPAA), cloud solutions, and mentor teams while evaluating emerging tools and automation opportunities.

Design and architect large-scale distributed data solutions using Spark and Cloudera CDH. Build and optimize ETL pipelines, ensure data integrity/security, troubleshoot performance, and implement version control and CI/CD for Spark applications while collaborating with data scientists and stakeholders.

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.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

Design and deliver scalable Power BI data models, dashboards, and reporting solutions. Collaborate with stakeholders, establish visualization governance and best practices, prototype solutions, and own projects end-to-end to enable data-driven decisions across healthcare teams.

The Principal Database Architect & Engineer will own the data components of complex infrastructure solutions and lead teams to deliver innovative database technology solutions, ensuring optimal performance and operational efficiency.

Lead data management projects and optimize data architecture for cloud and on-premise systems, focusing on integration with Salesforce.com and ETL tools.

Implement privacy-by-design and data risk management for DOHMH datasets: assess risks, apply mitigation (including differential privacy and synthetic data), operationalize confidentiality regulations, document methods, collaborate with stewards and engineers, and translate policy requirements into technical specifications and governance monitoring.

Design, support, and improve data analytics solutions (OAC and Power BI). Manage data ingestion, ETL, data quality, access, and documentation. Liaise with stakeholders, migrate dashboards from OAC to Power BI, and follow SDLC and project management practices.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

Lead the architecture and design of an operational data platform, focusing on data unification, streaming integrations, governance, and mentoring teams while ensuring HIPAA compliance.