Summary
✨ AI‑Generated
A technical lead role focused on building modern data platforms, scalable pipelines, backend services, and cloud architectures. Candidates will work on large-scale data engineering challenges.
Highlights
Lead-level opportunity to design enterprise-scale data platforms, cloud solutions, and analytics services.
Description
Job: Data Platform Engineer (AI experience)
Location : Redmond, WA
Job Type : || Full time||
Job Summary: 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
Preferred Profile
A hands-on Data + Services Technical Lead capable of owning enterprise Azure solutions across:
Data Ingestion → Data Processing → Lakehouse/Analytics → APIs & Services → Monitoring → Production Operations