Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)
Job Location:
New York City, NY - USA
Yearly Salary:
USD 140000 - 160000
Posted:
17 October 2026 (7 hours ago)
Application Deadline:
14 January 2027
Vacancies:
1 Vacancy
Job Summary
Job Role: Data & Analytics Solutions Architect (AWS Snowflake Cortex)
Job Location: NJ/NYC Columbus OH Washington DC area Milwaukee Boston Pittsburg PA Troy MI
Salary Range--$140K-$160K/year plus Benefits
Details:
Must Have Technical/Functional Skills:
Roles & Responsibilities:
Job Location: NJ/NYC Columbus OH Washington DC area Milwaukee Boston Pittsburg PA Troy MI
Salary Range--$140K-$160K/year plus Benefits
Details:
Must Have Technical/Functional Skills:
- 14 years of experience in Enterprise Data Architecture AWS Data Platforms Snowflake Data Engineering and Cloud Modernization.
- Proven experience in Enterprise Solution architecture using AWS Snowflake Cortex and related technology components across the Data to Insights end to end value chain.
- Strong hands-on expertise in AWS Data Services Snowflake Snowflake Cortex Snowflake Horizon Catalog Apache Iceberg / Snowflake Open Catalog Python PySpark and SQL.
- Proven experience designing and implementing Lakehouse Architectures enterprise data platforms and modern analytics solutions on AWS.
- Strong understanding of the Snowflake Data Cloud including Snowflake SQL Workflows Snowpipe Snowflake Model Registry Snowflake Horizon Catalog Serverless Compute and Performance Eligible to workimization.
- Experience building AI-enabled analytics solutions using Snowflake Cortex semantic models natural language analytics and governed data access frameworks.
- Expertise in Data Engineering including ETL/ELT batch and streaming integration APIs orchestration data quality metadata management lineage observability and DataOps practices.
- Strong knowledge of Enterprise Data Architecture including data models data products lakehouse and warehouse patterns semantic layers and master/reference data management.
- Experience implementing Security Governance and Compliance controls including IAM/RBAC encryption privacy masking auditability retention and responsible AI practices.
- Proven experience leading architecture definition HLD/LLD preparation NFR assessment migration planning technical governance and production readiness activities.
- Experience supporting cloud transformation initiatives solutioning RFP responses effort estimation and client-facing architecture discussions.
- Good understanding of BFSI regulatory security privacy resilience and audit requirements.
- Bachelors degree in Computer Science Engineering Information Systems Data Management or a related discipline.
- Preferred certifications in AWS Solutions Architecture Snowflake Data Engineering Enterprise Architecture Security or AI/ML.
Roles & Responsibilities:
- Engage with business and technology stakeholders to understand data analytics AI and cloud transformation requirements.
- Define end-to-end architecture for AWS Snowflake-based data analytics and AI platforms.
- Design scalable secure and high-performance Lakehouse solutions using AWS Data Services Snowflake Apache Iceberg / Snowflake Open Catalog and Snowfl ake Horizon Catalog.
- Architect data ingestion integration batch streaming and data engineering solutions supporting enterprise analytics and AI use cases.
- Design and implement AI-enabled analytics solutions using Snowflake Cortex semantic models and governed data access frameworks.
- Establish data governance security metadata lineage observability and responsible AI standards across the platform.
- Lead data platform modernization migration and cloud transformation initiatives on AWS.
- Define architecture standards reusable frameworks best practices and DataOps delivery models.
- Provide technical leadership across solution design implementation testing migration deployment and production support activities.
- Conduct architecture reviews identify risks and dependencies and guide teams on mitigation strategies and best practices.
- Drive platform performance Eligible to workimization reliability improvements and cost Eligible to workimization across AWS and Snowflake environments.
- Collaborate with data engineers AI specialists architects platform teams and client stakeholders to deliver enterprise-scale solutions.
- Support solutioning RFP responses effort estimation technical presentations and client workshops.
- Mentor architects and engineers and contribute to capability development technical assessments and knowledge-sharing initiatives.
- Develop reusable accelerators reference architectures implementation frameworks and best practices for AWS Snowflake and AI solutions.
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Required Experience:
Staff IC