Data Architect

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 lakehouse architectures on Snowflake, focusing on performance tuning, query optimization, cost management, workload/warehouse strategies, and auto-scaling.

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 (e.g., for fine-tuning, 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 (e.g., on-prem 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 (e.g., Data Vault, Kimball, or hybrid), semantic modeling, and AI-ready data foundations.

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 (e.g., GDPR, SOC2, HIPAA if applicable).

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

Excellent communication, stakeholder management, and leadership skills.

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).

Snow Pro Core, Advanced, or Architect certification(s).

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 2.0, dimensional modeling, or domain-driven design.

Experience in regulated industries (finance, healthcare, pharma) or large-scale 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.

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.