Data /Snowflake Architect

Anagha Techno Soft

New York, NY, United States

5 days ago

Apply on www.dice.com

Prepare application

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

www.dice.com

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.