Top Data Architect Jobs in NYC, NY

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 design, implementation, and operation of a scalable, secure cloud data platform (data lake/warehouse/lakehouse). Build data pipelines, migrations, archival, IaC provisioning, CDC-enabled ingestion, governance, multi-tenant security, DR/HA, and performance optimization to support reporting, analytics, and AI/ML for a federal judiciary modernization program.

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

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Design, implement, and optimize enterprise data architecture and management for healthcare analytics. Lead data solutions using Microsoft Fabric and Power BI, ensure data governance, integrate imaging and EMR systems, troubleshoot ETL/SSIS, manage projects, mentor staff, and ensure HIPAA-compliant data practices.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Design and maintain enterprise data architecture across AWS and Azure, lead Snowflake data warehouse strategy, ensure data governance and HIPAA compliance, enable BI and AI/ML pipelines, collaborate with engineers and stakeholders, and recommend modern data technologies and standards.

Design and operationalize FHIR-compliant data models and scalable integration solutions to harmonize EHR, HIE, and claims data. Build validation frameworks and automated rules to ensure clinical accuracy and longitudinal integrity. Produce clear documentation and collaborate with engineering and cross-functional teams to support analytics, operational, and research initiatives.

Design, implement, and maintain Hadoop-based big data platforms using HDFS, Pig, Hive, HBase and Sqoop. Lead and provide oversight to the Hadoop team, write/debug Pig/Hive/Sqoop and shell/Python code, perform performance tuning and troubleshooting, liaise with application teams for issue resolution, and provide on-call weekend support.

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead architect to design and implement large-scale, distributed big data solutions using Java and Big Data technologies. Hands-on with Java 1.8+, Apache Spark, MapReduce, Hadoop/Cloudera, Hive, Impala, YARN, and Kafka. Perform data analysis, design scalable architectures, enforce testing (JUnit), and optionally use Unix/Python scripting. Manage global technology teams, apply industry best practices, and communicate effectively across stakeholders.

Design and implement scalable end-to-end data architectures, including data modeling, ETL/ELT pipelines, cloud data platforms, streaming integrations, governance, security, and enablement for analytics and AI/ML. Mentor engineers and document architecture for stakeholders.

Design scalable, secure data architectures on Google Cloud, lead discovery and migration from legacy systems, define ETL/ELT patterns, enforce governance and security, optimize performance, collaborate with stakeholders, and document architecture and migration progress.

Lead database design, data modeling, schema evolution, migrations, and ETL/ELT pipelines across MySQL, PostgreSQL, and Google Cloud databases. Build streaming and batch ingestion, enable CI/CD for data deployments, troubleshoot pipelines, produce runbooks, and mentor/lead offshore DB/ETL engineers while collaborating with onshore architects.

Lead design and implementation of scalable data architectures using Capsenta. Build and maintain data models, ontologies, and graph databases; manage databases; integrate data sources; optimize performance; enforce data governance; document solutions; collaborate with engineers and stakeholders; and stay current on semantic and knowledge-graph technologies.

Design, build, and optimize Spark ETL pipelines using Scala/Python and Oracle SQL. Lead and mentor a team of engineers, collaborate with stakeholders on scalable data solutions, ensure data integrity, security, and performance, and stay current on emerging technologies to drive improvements.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery 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.

The Data Strategist at Similarweb will define data strategies, manage technical integration, analyze data, and collaborate with sales to enhance client use of digital data solutions.

Design and implement scalable batch and near-real-time data pipelines and storage across AWS. Define event-driven integrations, ensure data quality and observability, optimize performance, lead production troubleshooting and migrations, review designs and CI/CD practices, and collaborate with architects and stakeholders to align solutions to business needs.

Customer-facing technical leader guiding enterprise customers through cloud data engineering and lakehouse transformations. Architect and optimize large-scale ETL/streaming pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, and drive adoption through workshops and community engagement.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Architect and deploy scalable Inventa data-management solutions, lead complex enterprise integrations (APIs, on-prem, cloud, SaaS, data lakes), resolve architectural performance and access issues, create global architecture guides and documentation, and feed product improvements through field insights. Customer-facing, cross-functional collaboration with Sales, Customer Success, and Product.