Snowflake Architect

Hybrid in New York, NY, US • Posted 10 days ago • Updated 3 days ago
Full Time
75% Travel Required
On-site
Depends on Experience
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Job Details

Skills

  • snowflake
  • cortex AI
  • snowflake cortex

Summary

Data Architect – Snowflake

Manhattan, NYC

Full-time

We are seeking an experienced Snowflake Architect with expertise in Snowflake AI/Cortex capabilities to design and implement scalable cloud data platforms for Capital Markets clients. The ideal candidate will have hands-on experience with Snowflake Cortex AI (RAG, Semantic Search, and Multi-Agent Systems), enterprise data architecture, and cloud-based analytics solutions. This role requires strong client-facing experience, excellent communication skills, and the ability to lead technical discussions, solution design, and delivery.

Must-Have Skills

  • 10+ years of experience in Data Engineering, Data Warehousing, and Cloud Data Platforms.
  • Strong expertise in Snowflake Architecture, data modeling, performance tuning, security, and governance.
  • Hands-on experience with Snowflake Cortex AI, including:
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
  • Cortex Analyst
  • Cortex Search
  • Multi-Agent AI Systems
  • LLM integration and AI-powered analytics
  • Experience designing scalable ELT/ETL pipelines using Snowflake.
  • Strong SQL and Snowflake Scripting skills.
  • Experience in Capital Markets domain (Trading, Risk, Market Data, Securities, Asset Management, or Investment Banking).
  • Strong understanding of cloud platforms (AWS or Azure).
  • Experience with data governance, security, RBAC, masking policies, and data sharing.
  • Excellent communication, stakeholder management, and client-facing consulting skills.
  • Ability to lead architecture discussions, mentor teams, and drive solution delivery.

Nice-to-Have Skills

  • PostgreSQL
  • Talend
  • Azure or AWS
  • Denodo
  • Apache Iceberg Tables
  • Experience migrating legacy databases such as Oracle and DB2 to Snowflake
  • Snowpark (Python/Java)
  • CI/CD, Terraform, GitHub Actions or Azure DevOps
  • Knowledge of Data Mesh and Lakehouse architectures

Key Responsibilities

  • Design and implement enterprise-scale Snowflake data platform architectures.
  • Build AI-powered data solutions using Snowflake Cortex AI, RAG pipelines, Semantic Search, and Multi-Agent frameworks.
  • Develop secure, scalable, and high-performance Snowflake solutions for Capital Markets use cases.
  • Lead migration projects from Oracle, DB2, and other legacy platforms to Snowflake.
  • Design and optimize ELT pipelines using Talend and cloud-native technologies.
  • Implement Snowflake best practices for performance optimization, security, governance, and cost management.
  • Integrate Snowflake with cloud services, AI/ML platforms, APIs, and enterprise applications.
  • Collaborate with business stakeholders to translate requirements into scalable technical solutions.
  • Conduct architecture reviews, technical workshops, and client presentations.
  • Mentor development teams and establish engineering best practices.

Preferred Qualifications

  • Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related field.
  • SnowPro Advanced or SnowPro Architect certification preferred.
  • Cloud certifications (AWS or Azure) are a plus.
  • Experience delivering enterprise data modernization initiatives in Financial Services or Capital Markets environments.

This role is ideal for a senior architect who combines deep Snowflake architecture expertiseAI-enabled data solutions using Snowflake Cortex, and Capital Markets domain knowledge with strong client engagement and leadership capabilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91089021
  • Position Id: 9043130
  • Posted 10 days ago

Company Info

About DATAECONOMY

DATAECONOMY IS a fast-growing Data & Analytics company with a global presence headquartered in Dublin, OH with office in Providence, RI, and an advanced technology center in Hyderabad, India. DATAECONOMY is well recognized and are known for their thought leadership, out-of-the-box products, cutting-edge solution accelerators, innovative business use cases, and cost-effective service offerings.

DATAECONOMY focus on these six core competencies believing that these competencies put together create nimble data enterprises enabling them for better data monetization.


DATA ENGINEERING: We provide services and solutions ranging from data plumbing through data consumption using traditional and modern technologies on either on-prem or cloud.


DATA SCIENCE: We put heavy emphasis on advanced visual analytics using graph technologies while leveraging the AI/ML/NLP to powerup the business use cases.


CLOUD: We have partnerships with major cloud vendors and direct MSA with AWS to deliver their native data platform solutions. A notable offering here is our Data Platform Modernization Suite for quick cloud enablement.


DATA GOVERNANCE: At DATAECONOMY, we look at Data Governance as foundation for Data Monetization beyond compliance. We focus on operationalize the data governance as treat that as an organizational behavioral transformation.


DATAOPS Over the last decade, organizations have matured with their overall DevOps, but we still see lot of white spaces when comes to the DataOps. Our solutions and services address these white spaces while quickly bringing the data organizations catching up to enterprise DevOs.

BLOCKCHAIN: momentum has slowed down in adopting the blockchain across industries as success requires tremendous amount of cross organizational collaborations. We are now working to take our Data Mesh, Data Exchange solutions to Blockchain hoping future is all about sharing and exchanging data amongst the organizations.

Contact the job poster
LP

Lokesh Potnuri

Recruiter @ DATAECONOMY
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