Senior Solutions Architect (Data bricks)

Remote • Posted 1 hour ago • Updated 1 hour ago
Full Time
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • angular
  • data bricks
  • NET / C# APIs

Summary

Must Have Technical/Functional Skill

Front-end: Angular (or similar modern frameworks)

Back-end: .NET / C# APIs and services

Databricks and data engineering, including Spark, Delta Lake, and pipeline development

AI-enabled solutions, including RAG architectures and LLM integration.

Microsoft Azure,

Roles & Responsibilities

  • Design and deliver end-to-end solution architectures spanning front-end (Angular), back-end (.NET), data platforms (Databricks), APIs, and cloud infrastructure (Azure).
  • Act as a hands-on architect, contributing code, prototypes, and reference implementations across application, data, and AI layers.
  • Architect and implement modern full-stack applications, ensuring seamless integration between UI, services, and data platforms.
  • Lead the design of data and analytics solutions using Databricks, including data pipelines, lakehouse architecture, and integration with application services.
  • Design and integrate AI-enabled solutions, including:

o Retrieval-Augmented Generation (RAG) patterns

o Databricks Genie and conversational data interfaces

o Secure and scalable LLM integration into applications

  • Collaborate with engineering teams to build reusable frameworks, shared services, and integration patterns across front-end, back-end, and data layers.
  • Partner with Product, Engineering, CloudOps, and Security teams to ensure security, reliability, and governance are embedded into all solutions.
  • Lead architecture and design sessions, providing clear technical direction and influencing decisions across stakeholders.
  • Ensure solutions meet non-functional requirements including performance, scalability, cost optimization, security, and compliance (HIPAA, SOC 2).
  • Drive adoption of modern engineering practices, including CI/CD, Infrastructure as Code, automated testing, and observability.
  • Mentor team members and promote engineering excellence and best practices across the organization.

Ensure all solutions align with enterprise architecture standards, data governance policies, and CISO directives.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91102852
  • Position Id: 8967375
  • Posted 1 hour ago
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