Senior Data Architect
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
Required Skills:
What problem are we trying to solve Client is looking for 2 Staff Data Architects with strong Data Modeling and Data Architecture expertise. They will be working on their People-Matching Application effort which is part of the internal customer portal directly addressing data accuracy data sharing and data validity amongst patients and their doctors and care facilities. Will focus primarily on designing data architecture building models and ensuring the usability consistency quality etc. Client takes an integrated approach to architecture and evolving architecture and these Architects will balance the visionary aspects of their role with hands-on implementation. Embedded on teams with business direction but less clear technical direction but be okay with ambiguity. 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.)
Required Education:
Requirements shared on Job Description:Technical Skills:Data Platforms: PostgreSQL MS SQL Server Snowflake MongoDB TeradataData Modelling Tools: ERwin ER /Studio dbt practical SQL DDLStreaming & Messaging: Confluent/Kafka/kSQL event-driven architecturesCloud Platforms: AWS Azure - hands-on implementation experienceInfrastructure as Code: Terraform CloudFormation - writing not just reviewingProgramming: Python SQL Java/Scala - production-level coding ability
Company Industry
IT Services and IT Consulting
Key Skills
- Fund Management
- Drafting
- End User Support
- Infrastructure
- Airlines
- Catia
