Top Data Architect Jobs in NYC, NY

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

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

The Staff Data Architect will enhance Jellyfish's data platform through architectural design, automation, advanced observability, and efficient data governance, while collaborating across teams.

The Enterprise Data Architect will design and govern data architecture, create enterprise data models, and ensure data consistency across various systems.

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.

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.

The Data Architect role involves defining data models, ensuring data integration and governance, and collaborating with teams to support analytics capabilities.

Design and govern Axiom's enterprise data model, enforce data governance and quality, manage a Data Engineer, align data architecture with AI strategy, administer Databricks, and document lineage, ownership, and access policies while partnering across Product, Operations, and Data Science.

Lead ER/Studio data architecture and modeling efforts: build/maintain macros, standardize domains and metadata, synchronize models with physical databases, enforce naming/versioning standards, document and support modelers and DB engineering for BI and data integration.

Design and develop scalable big-data solutions using Hadoop ecosystem technologies. Lead requirements gathering, implement Spark/MapReduce workflows, integrate NoSQL databases, mentor team members, and collaborate with stakeholders to solve complex data problems.

Design, gather requirements for, and develop scalable Hadoop-based big data solutions. Work with Hadoop ecosystem and NoSQL databases, implement Spark/MapReduce jobs, and use Hive, Sqoop, Oozie, Flume and programming languages (Java/Scala/Python). Mentor team members, solve analytical problems, and learn business domain. R experience desirable.

Design and implement data lake ingestion and client consumption solutions. Work with Hadoop (HDFS, YARN), optimize Hive, build Spark jobs (Python/Scala), use Informatica PowerCenter, and deploy/operate solutions on AWS while meeting deadlines and leading tasks.

Design, build, and support data lake/data management, ingestion, and client consumption. Require strong Big Data fundamentals (HDFS, YARN, Hive tuning), solid Spark (Python/Scala) skills, AWS cloud experience, ETL tooling (Informatica) knowledge, and familiarity with NoSQL tools like Cassandra, Drill, and Impala.

Design, build, and support a data lake: manage ingestion, data management, and client consumption. Implement Big Data platforms (HDFS, YARN), optimize Hive (partitioning, reducer/block sizing), develop Spark jobs (Python/Scala), work with ETL tools (Informatica) and NoSQL (Cassandra, Drill, Impala) in AWS. Meet deadlines, handle multiple tasks, and communicate with stakeholders.

The Senior Data Architect will design and lead the architecture of Trexquant's data ecosystem, ensuring unified access and efficiency by creating intuitive data solutions for researchers and simulators across various asset classes.

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

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.

Design and implement AWS-based data architectures and lakehouse solutions, lead data engineering teams, build ETL and real-time pipelines (Kafka/Kinesis), use DBT and Airbyte for ingestion and transformation, orchestrate workflows with Airflow/MWAA, enforce security/compliance, and guide infra automation with Terraform/CloudFormation and CI/CD.

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 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.

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.

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 enterprise-wide data architecture strategy and delivery, including data modeling, integration, governance, security, and cloud platform adoption. Partner with executives and business units to align data roadmaps, evaluate emerging technologies (including Gen-AI), mentor architecture and engineering teams, and ensure scalable, secure, high-performance data solutions across the organization.