Data Architect

New York, NY, United States (Hybrid) Contract (7 months 24 days) Published 18 days ago Snowflake cloud data platforms data governance data modeling Snowflake Architecture Data Migration ETL/ELT Orchestration tools query optimization AI/MLKey Responsibilities:

• Lead end to end data architecture and solution design for Snowflake based data platforms including logical physical data models ingestion patterns batch streaming Snowpipe storage layers raw curated consumption semantic and consumption patterns for analytics BI and AI/ML
• Design and optimize scalable high performance data warehouses data lakes and lake house architectures on Snowflake focusing on performance tuning query optimization cost management workload warehouse strategies and autoscaling
• Architect and implement AI powered solutions using Snowflake Cortex including Cortex LLM functions Cortex Search for semantic vector RAG capabilities
• Cortex Analyst for conversational analytics Document AI and integration with external LLMs eg for finetuning agents and multimodal data processing
• Define and enforce data governance security and compliance frameworks RBAC row column access policies dynamic data masking encryption secure data sharing and private listings
• Design data pipelines integrating with various sources on-prem cloud SaaS and orchestration tools implement real time capabilities using Streams Tasks and Snowpark Python, Scala, Java
• Collaborate with data engineers analysts scientists and business stakeholders to deliver governed reusable data products that accelerate analytics and AI initiatives
• Provide technical leadership in migrations to Snowflake from legacy systems eg onprem warehouses other clouds and establish reference architectures patterns and standards
• Monitor platform health optimize for cost performance and implement disaster recovery replication and high availability strategies
• Mentor junior architects and engineers conduct design reviews and promote best practices in data modeling eg Data Vault Kimball or hybrid semantic modeling and AI ready data foundations

Required Qualifications:

• 8 years of experience in data architecture data engineering or data platform roles with at least 4 years specifically designing and optimizing solutions on Snowflake
• Deep expertise in Snowflake features warehouses resource monitors zero copy cloning
• Time Travel data sharing Snowpark Tasks Streams and security governance controls
• Strong proficiency in SQL data modeling conceptual logical physical ETL/ELT patterns and cloud data platforms AWS Azure or GCP
• Proven experience designing secure scalable architectures for analytics reporting and machine learning workloads
• Solid understanding of data governance quality lineage and compliance eg GDPR SOC2 HIPAA if applicable
• Bachelors or Masters degree in Computer Science Information Systems Engineering or a related field or equivalent experience
• Excellent communication stakeholder management and leadership skills

Preferred Skills and Experience:

• Hands-on experience with Snowflake Cortex AI capabilities Cortex Search Cortex Analyst LLM functions vector embeddings RAG patterns and building AI agents or applications within Snowflake SnowPro Core Advanced or Architect certifications
• Experience with modern data stack tools dbt Airflow Kafka Spark Fivetran Matillion or similar Knowledge of AI/ML workflows vector databases semantic search and integrating structured/unstructured data for generative AI Background in Data Vault 20 dimensional modeling or domaindriven design
• Experience in regulated industries finance healthcare pharma or largescale enterprise environments is a plus

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.