Top Data Architect Jobs in NYC, NY

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, 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 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.

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.

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 implement enterprise data architecture and ETL/ELT on GCP (BigQuery). Own ingestion, transformation, modeling, orchestration, governance, and platform roadmap. Collaborate with business and BI teams, mentor engineers, drive modernization (lakehouse, data mesh, streaming), and ensure scalable, secure, high-performance data products for analytics.

Leads business data architecture and reference data design across clients, parties, legal entities, accounts, contracts, products, and related structures. Defines conceptual and logical models, identifiers, entity resolution, authoritative sources, lifecycle processes, stewardship, controls, and operating models. Uses SQL and data profiling to validate data relationships and quality, develops prototypes, and translates business needs into engineering-ready requirements. Partners with Product, Operations, Architecture, Data, and Engineering teams to drive adoption and implementation decisions.

Lead the architecture and delivery of modern data and analytics platforms for clients. Design governed, secure solutions using Microsoft Fabric, Azure, Databricks, Power BI, and Purview. Translate business needs into scalable architectures, estimates, roadmaps, and delivery plans. Guide architecture reviews, governance, CI/CD, testing, monitoring, and operational readiness while enabling AI, Copilot, RAG, and intelligent application initiatives. Serve as the technical lead and trusted advisor for client engagements.

Own Marketing’s reporting and analytics layer by building executive dashboards, defining KPIs, modeling data across GTM systems, and establishing governance and trusted sources of truth. Partner cross-functionally to measure funnel performance, attribution, campaigns, pipeline, and ROI. Help evaluate and develop AI-powered analytics, conversational reporting, automated insights, and intelligent visualization while translating complex data into actionable recommendations for leadership.

Design, architect, and implement scalable high-performance big data solutions on Hadoop ecosystems. Lead workshops, produce proposals and technical documentation, perform reviews, profiling, troubleshooting, cluster sizing, and deploy clustered solutions. Mentor senior leaders and contribute to open-source integrations.

Design, build, and prototype data platforms and streaming applications (Kafka, Spark, Flink). Create data schemas, integrate IT Ops tools (LogicMonitor, ServiceNow, BigPanda), configure platforms for performance/security, mentor peers, support pre-sales, and lead technical delivery across cloud environments.

Design and own an enterprise-scale, multi-cloud data and analytics platform for the VA. Lead migration and modernization, implement governance/security/compliance for sensitive PII/PHI, enable AI/ML capabilities, support ingestion and interoperability across VA systems, and produce architecture and compliance documentation while collaborating with engineers, analysts, and stakeholders.

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, build, and scale enterprise Databricks Lakehouse platforms. Lead architecture, platform standardization, ingestion frameworks (batch/stream), governance, performance/cost optimization, cloud integration, and mentor engineering teams.

Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

Lead design and implementation of a medallion lakehouse on Microsoft Fabric, build ingestion pipelines, data models and BI dashboards, create AI/LLM tools for business users, enforce data governance, mentor data teams, and partner with stakeholders to enable self-serve analytics across marketing, product, finance, and clinical functions.

Lead design, build, and support of scalable data pipelines and integrations using Microsoft Fabric, ADF, PySpark, SQL, ADLS Gen2, and Databricks Unity Catalog. Drive Azure-to-Fabric migration, stabilize pipelines, tune performance, manage data governance, troubleshoot issues, document designs, mentor team members, and collaborate with stakeholders in Life Sciences regulatory environments during US Eastern hours.

As a Salesforce Technical Architect focused on Data & AI, you'll design and implement solutions using Salesforce Data 360, oversee technical projects, collaborate with various stakeholders, and mentor junior staff to drive AI innovations.

Lead enterprise data solution architecture by defining reference architectures, reusable patterns, and governance. Design scalable modern data platforms and pipelines, enable data product operating model, embed security and compliance, drive AI-enabled solutions, mentor architects, and align cross-functional stakeholders to improve reuse, data quality, and delivery speed across insurance domains.

Lead enterprise-level data solution architecture: define standards, reference architectures, and guardrails; design scalable modern data platforms and data products; embed governance, observability, and AI-enabled capabilities; influence stakeholders and mentor architects to drive adoption and reuse across insurance business functions.

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 technical advisor for enterprise data governance engagements. Design governance strategy, metadata management, business glossaries, taxonomy, data lineage, stewardship models, and Microsoft Purview implementations. Run workshops, maturity assessments, and executive advisory sessions. Create governance monitoring, operational reporting, and AI-readiness assessments for platforms like Microsoft Fabric, Power BI, and Azure.

Senior technical leader defining Subaru of America's enterprise data architecture strategy across platforms, integration, governance, analytics, and security. Shapes 3-5 year data strategy, drives architecture standards, enables AI/agentic workflows, leads cross-functional solutions, mentors teams, and represents SOA externally to advance data capabilities and compliance.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.