Data /Snowflake Architect
Anagha Techno Soft
New York, NY, United States
about 2 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Artificial Intelligence
ARM Architecture
Microsoft Azure
Cloud Engineering
Databases
Data Architecture
Information Engineering
Data Governance
Dataspaces
Data Warehousing
Software Design Patterns
+23 more
Distributed Data Store
Graph Database
Python (Programming Language)
PostgreSQL
Query Optimization
Power BI
Cloud Services
Ansible
Search Technologies
SQL Databases
Talend
Unstructured Data
Enterprise Software Applications
Snowflake
Apache Spark
Generative AI
HybridCloud
Microsoft Fabric
Information Technology
Data Analytics
Data Management
Serverless Computing
Databricks
Requirements
- 10+ years of recent experience in Data Architecture/Data Engineering with enterprise-scale, regulated environments.
- Hands-on expertise in Snowflake & PostgreSQL administration, architecture, schema design, migration, performance/query tuning and distributed databases.
- Architect and deploy large-scale database clusters/hybrid cloud ecosystems across AWS & Azure, including multi-region HA/DR, backup, security and compliance.
- Strong Python/Ansible scripting and automation for database provisioning, monitoring, scaling and infrastructure modernization.
- Architect structured & unstructured data ingestion, processing, context/data engineering, lifecycle management and enterprise data warehouse modeling/reporting.
- Strong knowledge of Snowflake design patterns, cloud-native/serverless architectures and migration workflows.
- Expertise with Snowflake, Databricks, Talend, Spark, Power BI & Microsoft Fabric across modern data ecosystems.
- Experience with Snowflake Cortex Analyst, Cortex Search, AI SQL, Snowflake ML & Snowpark Container Services for ML/Generative AI solutions.
- Strong understanding of RAG, vector search (Azure AI Search) and AI/ML application architectures.
- Establish data governance, quality/validation standards, architectural principles, technology standards, security, integrity and reliability.
- Enable seamless integration with Data Analytics, BI Reporting, AI-agent workflows, transactional processing and enterprise applications.
- Lead modernization and architectural innovation, including next-generation data platforms, knowledge graphs and advanced data fabrics.
- Excellent leadership, communication, problem-solving and stakeholder management skills; able to influence senior/executive stakeholders and mentor engineers.
- Bachelor s degree required; Master s in Computer Science, Engineering or related technical discipline preferred; experience in Agile SDLC required.
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