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Data Architect -- W2 Profiles -- Onsite

Trebecon LLCNew York, NY🇺🇸United StatesPosted Oct 13, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
21 hours ago
SQLAWSETLMachine LearningSnowflakeAzureDatabricksGoogle CloudPythonStakeholder Management

Job Description

Role: Data Architect
Location: Manhattan, NY (Hybrid – 3 days per week onsite)
Key Responsibilities
  • Design enterprise data architecture, including data models, pipelines, storage, and integration patterns.
  • Define and implement data standards, governance, lineage, and data quality practices.
  • Evaluate and recommend data platform technologies aligned with client strategy.
  • Collaborate with AI Architects and Data Engineers to enable machine learning and AI workloads.
  • Review architecture designs and code for performance, security, scalability, and maintainability.
  • Document architecture decisions and present solutions to technical and business stakeholders.
  • Ensure compliance with security, privacy, and regulatory requirements.
  • Guide, mentor, and provide technical direction to offshore data teams.
Required Qualifications
  • 13+ years of overall IT experience, with strong experience in data architecture, data engineering, or analytics.
  • Deep expertise in relational, dimensional, and lakehouse data modeling.
  • Hands-on experience with cloud data platforms such as Azure, AWS, or Google Cloud Platform.
  • Experience with Databricks, Snowflake, or Azure Synapse.
  • Strong SQL skills and familiarity with Python.
  • Experience with ETL/ELT design and data integration patterns.
  • Knowledge of data governance, Master Data Management (MDM), data lineage, and data quality frameworks.
  • Strong solution architecture, communication, and stakeholder management skills.
  • Ability to work onsite in Manhattan, NY, three days per week.
Preferred Qualifications
  • Cloud Architect or Data Architecture certifications.
  • Experience supporting AI/ML workloads and enterprise analytics platforms.
  • Experience leading and mentoring offshore data engineering teams.
Key Skills
Data Architecture | Data Modeling | Cloud Data Platforms | Databricks | Snowflake | Azure Synapse | ETL/ELT | SQL | Python | Data Governance | MDM | Data Quality | Solution Architecture | AI/ML Enablement
 

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