Data Architect
Critical River, Inc.
San Francisco, CA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
Business Analytics Applications
Data Analysis
ARM Architecture
Microsoft Azure
Big Data
BigQuery
Data Architecture
Information Engineering
Data Governance
+32 more
Extract Transform Load (ETL)
Data Vault Modeling
Data Warehousing
Dimensional Modeling
Python (Programming Language)
Meta-Data Management
Power BI
OpenAI
Cloud Services
SQL Databases
Data Streaming
Tableau (Software)
Enterprise Data Management
Google Cloud
Retrieval-Augmented Generation
Large Language Models
Snowflake
Apache Spark
Generative AI
Agentic-AI
Microsoft Fabric
Data Lakes
AWS Glue
Apache Kafka
Data Management
Machine Learning Operations
Cloud Migration
Azure Synapse Analytics
Looker Analytics
Mulesoft
Amazon Redshift
Databricks
Job description
CriticalRiver is seeking a highly experienced Data Architect to lead the design and delivery of enterprise-scale data platforms, cloud data ecosystems, analytics solutions, and modern data engineering architectures. The ideal candidate will possess deep expertise in Data Architecture, Data Engineering, Snowflake and/or Databricks, with exposure to AI/ML and Generative AI technologies., * Design and own enterprise data architectures across Data Lakes, Lakehouses, Data Warehouses, and Analytics Platforms.
- Architect scalable cloud data solutions using Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, and Azure Synapse.
- Build modern ETL/ELT, CDC, batch, real-time, and streaming data pipelines using Python, SQL, Spark, Kafka, dbt, Airflow, and related technologies.
- Define data modeling standards including Dimensional Modeling, Data Vault, and Semantic Models.
- Lead cloud modernization and large-scale data migration initiatives across AWS, Azure, and Google Cloud Platform.
- Implement data governance, metadata management, data quality, lineage, security, and compliance frameworks.
- Enable enterprise BI and analytics using Power BI, Tableau, Looker, ThoughtSpot, and other modern analytics platforms.
- Collaborate with AI/ML teams to integrate LLMs, RAG, Vector Databases, AI Agents, and Generative AI capabilities into enterprise data platforms.
- Provide architecture leadership, client consulting, solution design, technical governance, presales support, and team mentoring.
Requirements
- 15+ years in Data Engineering, Data Architecture, Cloud Data Platforms, and Analytics.
- Strong hands-on expertise in Python, SQL, Apache Spark, Snowpark, ETL/ELT, Data Modeling, and Data Governance.
- Deep experience with Snowflake and/or Databricks.
- Expertise in AWS, Azure, or Google Cloud Platform cloud platforms.
- Experience with Kafka, Airflow, Dagster, dbt, Delta Lake, Delta Live Tables, ADF, AWS Glue, Fivetran, Informatica, or MuleSoft.
- Strong understanding of Data Quality, Metadata Management, Lineage, Security, and Governance.
- Excellent communication, stakeholder management, consulting, and leadership skills., * Experience with Snowflake Horizon, Databricks Unity Catalog, Cortex AI, or Mosaic AI.
- Exposure to LLMs, RAG, OpenAI, Azure OpenAI, Vertex AI, SageMaker, MLflow, Vector Databases, and AI Agents.
- Certifications in AWS, Azure, Google Cloud Platform, Snowflake, or Databricks.
- Background in consulting and regulated industries such as Healthcare, Retail, or BFSI.
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