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Data Architect

Nexiva Inc


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 27 May 2026 (30+ days ago)
Application Deadline: 24 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Hi

This is Aditya Staffing Expert from Nexiva Inc . Im reaching out regarding a Role that aligns well with your experience. Let me know if youre open to discuss .Please check below role and share me your updated Resume with contact details or You can share me a References if any one your known looking an Opportunity!

Job Description

Data Architect

Location: New York NY NJ

Workplace Type: Hybrid

Interview: Face to Face for the last round

Description

Key Responsibilities:

  • Lead end to end data architecture and solution design for Snowflake based data platforms including logical physical data models ingestion patterns batch streaming Snowpipe storage layers raw curated consumption semantic and consumption patterns for analytics BI and AI/ML
  • Design and optimize scalable high performance data warehouses data lakes and lake house architectures on Snowflake focusing on performance tuning query optimization cost management workload warehouse strategies and autoscaling
  • Architect and implement AI powered solutions using Snowflake Cortex including Cortex LLM functions Cortex Search for semantic vector RAG capabilities
  • Cortex Analyst for conversational analytics Document AI and integration with external LLMs eg for finetuning agents and multimodal data processing
  • Define and enforce data governance security and compliance frameworks RBAC row column access policies dynamic data masking encryption secure data sharing and private listings
  • Design data pipelines integrating with various sources on-prem cloud SaaS and orchestration tools implement real time capabilities using Streams Tasks and Snowpark Python Scala Java
  • Collaborate with data engineers analysts scientists and business stakeholders to deliver governed reusable data products that accelerate analytics and AI initiatives
  • Provide technical leadership in migrations to Snowflake from legacy systems eg onprem warehouses other clouds and establish reference architectures patterns and standards
  • Monitor platform health optimize for cost performance and implement disaster recovery replication and high availability strategies
  • Mentor junior architects and engineers conduct design reviews and promote best practices in data modeling eg Data Vault Kimball or hybrid semantic modeling and AI ready data foundations

Required Qualifications:

  • 8 years of experience in data architecture data engineering or data platform roles with at least 4 years specifically designing and optimizing solutions on Snowflake
  • Deep expertise in Snowflake features warehouses resource monitors zero copy cloning
  • Time Travel data sharing Snowpark Tasks Streams and security governance controls
  • Strong proficiency in SQL data modeling conceptual logical physical ETL/ELT patterns and cloud data platforms AWS Azure or GCP
  • Proven experience designing secure scalable architectures for analytics reporting and machine learning workloads
  • Solid understanding of data governance quality lineage and compliance eg GDPR SOC2 HIPAA if applicable
  • Bachelors or Masters degree in Computer Science Information Systems Engineering or a related field or equivalent experience
  • Excellent communication stakeholder management and leadership skills

Preferred Skills and Experience:

  • Hands-on experience with Snowflake Cortex AI capabilities Cortex Search Cortex Analyst LLM functions vector embeddings RAG patterns and building AI agents or applications within Snowflake SnowPro Core Advanced or Architect certifications
  • Experience with modern data stack tools dbt Airflow Kafka Spark Fivetran Matillion or similar Knowledge of AI/ML workflows vector databases semantic search and integrating structured/unstructured data for generative AI Background in Data Vault 20 dimensional modeling or domaindriven design
  • Experience in regulated industries finance healthcare pharma or largescale enterprise environments is a plus