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Staff Data Architect
Staff Data ArchitectVSG Business Solutions LLC • United States
Staff Data Architect

Staff Data Architect

VSG Business Solutions LLC • United States
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They need 2 DAs, and they need to be from hi level tech orgs / FAANG types. The bar is very high for this one, in the sense of you see ex google, amazon, meta types in this org.

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

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.
  • DHCS 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.)

    • Technical Skills :

  • Data Platforms : PostgreSQL, MS SQL Server, Snowflake, MongoDB, Teradata
  • Data Modeling Tools : ERwin, ER / Studio, dbt, practical SQL DDL
  • Streaming & Messaging : Confluent / Kafka / kSQL, 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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    Data Architect • United States