Job Description

This is a remote position.

STAFF DATA ARCHITECT- CALIFORNIA HQ

REMOTE

1 YEAR INITIAL CONTRACT | WILL EXTEND

2-3 INTERVIEWS- 1 HR EA.

CODILITY TECH SCREEN

START: ASAP

Role: Staff Data Architect – Seasoned, autonomous professionals (Principal Level).

Requirements

Responsibilities include:

• ~30% documentation/modeling/architecture.
  
• ~30% hands-on implementation.
  
• ~20% firefighting/reactive work.
  
• ~20% process scalability, reducing single points of failure, eliminating redundancies.
  
• Defining and defending data models across domains.
  
• Driving clarity for application and enterprise data models.
  
• Contributing to reusable infrastructure and evolving architecture.
  
• Some involvement in data governance (leveraging and extending existing frameworks).
  
• They are evaluating the use of Databricks and DBT – experience with these would be very helpful.
  
• Required to pass Codility assessment (written architecture focus, possible light Python coding test – currently all codility questions are open-ended, essay format.)
  

Technical Skills:

• Data Platforms: PostgreSQL, MS SQL Server, Snowflake, MongoDB, Teradata
  
• Data Modeling Tools: Erwin, ER /Studio, dB, practical SQL DDL
  
• Streaming & Messaging: Confluent/Kafka/k SQL, event-driven architectures
  
• Cloud Platforms: AWS, Azure - hands-on implementation experience
  
• Infrastructure as Code: Terraform, CloudFormation - writing, not just reviewing
  
• Programming: Python, SQL, Java/Scala - production-level coding ability (they noted Java is less important)
  
• Architecture Patterns: Microservices, data mesh, event sourcing - implemented, not theoretical
  
• Development Tools: Git, GitHub, Jira, Confluence, Slack
  
• IDEs: Visual Studio, VS Code, JetBrains - daily usage
  
• Monitoring: Datadog, CloudWatch - designing observable systems
  
• Security Tools: Snyk , secure architecture implementation
  

Soft Skills:

• Data Modeling: Dimensional modeling, data vault, 3NF, denormalization strategies
  
• Architectural Design: Pragmatic, implementation-focused architecture
  
• Technical Leadership: Leading through code and demonstration
  
• Problem-Solving: Production debugging and performance optimization
  
• Hands-On Development: Active coding in architecture validation
  
• Communication: Technical translation for diverse audiences
  
• Delivery Focus: Shipping working systems, not perfect plans
  

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