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Programmers.io Linkedin · Posted 8d ago

Data Platform Engineer - AI

Redmond, Washington, United States

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Indexed description

We are looking for a hands-on Technical Lead – Data Platform & Services Engineering with strong expertise in Azure Data Engineering, backend services, APIs, analytics, and cloud architecture. The candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Azure.


Key Responsibilities:

Data Platform & Engineering:

  • Design and build scalable Azure data platforms, ETL/ELT pipelines, and analytical solutions.
  • Develop large-scale data processing using Azure Databricks, Spark/PySpark, Azure Synapse, and Azure Data Factory.
  • Design Lakehouse/Medallion architectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers


Backend Services & Integration:

  • Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core.
  • Build data and integration services using Azure SQL, Cosmos DB, Kusto, Azure Functions, Event Hubs, and Service Bus.
  • Implement microservices and event-driven processing patterns with secure authentication and authorization.

Modernization & Reliability

  • Modernize legacy data pipelines, services, APIs, storage platforms, and application components.
  • Support platform and data migrations while ensuring functional and data parity.
  • Implement logging, telemetry, dashboards, and proactive alerting using Azure Monitor and Application Insights


Cloud, DevOps & Technical Leadership

  • Build and maintain CI/CD pipelines using Azure DevOps and Git.
  • Implement secure cloud practices using Azure Key Vault, identity, authentication, and access controls.
  • Support Docker and Kubernetes/AKS-based workloads where applicable.


Mandatory Skills:

Data Engineering

  • Azure Databricks, Spark/PySpark
  • Azure Synapse Analytics, Azure Data Factory
  • ADLS Gen2, Delta Lake
  • SQL Server / Azure SQL
  • Cosmos DB, Kusto / Azure Data Explorer
  • ETL/ELT, Data Warehousing & Data Modeling
  • Lakehouse / Medallion Architecture
  • Data Quality, Reconciliation & Governance


Backend & Services

  • C#, .NET / ASP.NET Core
  • REST APIs & Microservices
  • Azure Functions
  • Event Hubs & Service Bus
  • Entity Framework Core
  • Authentication & Authorization


Cloud & DevOps

  • Microsoft Azure
  • Azure DevOps, Git & CI/CD
  • Azure Monitor & Application Insights
  • Azure Key Vault
  • Docker / Kubernetes


Good to Have

  • React or Angular, TypeScript
  • GraphQL
  • Power BI
  • Infrastructure as Code
  • SRE / Production Support experience
  • AI/ML or AI-enabled analytics exposure


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