Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
Yesterday
SQLAWSSnowflakeAgileAnsibleAzureComplianceDatabricksGenerative AIPostgreSQLPower BIPythonStakeholder Management
Job Description
Job Title: Data/Snowflake Architect
Type: 12 Months
Location: 3 days Onsite at NYC NY
Job Description:
- 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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