AZURE Data Architect

CloudIngest; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

CloudIngest in Manhattan, NY, seeks a senior Data Architect to define and govern scalable data architectures for analytics and AI use cases. This hybrid role will coordinate with AI architects and data engineers to enable ML workloads and secure, compliant platforms.

The ideal candidate has 10+ years in data fields, strong data modeling and hands-on cloud experience with Databricks, Snowflake, Synapse, and SQL/Python fluency.

Qualifications

• 10+ years in data architecture, engineering, or analytics.
• Deep expertise in data modeling (relational, dimensional, lakehouse).
• Hands-on experience with cloud data platforms and tools such as Databricks, Snowflake or Synapse.

Responsibilities

• Design enterprise data architecture, including data models, pipelines, storage and integration patterns.
• Define data standards, governance, lineage and quality practices.
• Evaluate and select data platform technologies in line with client strategy.
• Partner with AI Architect and Data Engineers to enable ML and AI workloads.
• Review designs and code for performance, security and scalability.
• Document architecture decisions and present to technical and business stakeholders.
• Ensure compliance with security, privacy, and regulatory requirements.
• Guide and mentor the offshore data team.

Skills

Data architecture

Data modeling

SQL

Python

Communication with stakeholders

Governance & metadata

Cloud concepts

Certification preferred

Tools

Databricks

Snowflake

Azure

AWS

Synapse

Job description

Location: Manhattan, NY (Hybrid 3 days a week to office)

Role Summary: Defines and governs the data architecture for the engagement onsite, ensuring scalable, secure and well-modeled data platforms that support analytics and AI use cases.

Key Responsibilities

• Design enterprise data architecture, including data models, pipelines, storage and integration patterns
• Define data standards, governance, lineage and quality practices
• Evaluate and select data platform technologies in line with client strategy
• Partner with AI Architect and Data Engineers to enable ML and AI workloads
• Review designs and code for performance, security and scalability
• Document architecture decisions and present to technical and business stakeholders
• Ensure compliance with security, privacy, and regulatory requirements
• Guide and mentor the offshore data team

Required Qualifications

• 10+ years in data architecture, engineering, or analytics
• Deep expertise in data modeling (relational, dimensional, lakehouse)
• Hands-on experience with cloud data platforms (Azure, AWS or GCP) and tools such as Databricks, Snowflake or Synapse
• Strong SQL and familiarity with Python
• Experience with data governance, MDM, and data quality frameworks
• Excellent communication with technical and business audiences
• Cloud architect or data certification preferred.