Job description

Title: Data Platform Engineer (AI experience) Location: Remote Duration: Full Time Job Summary: We are looking for a hands-on Technical Lead – Data Platform & Services Engineering with strong expertise in Clienture Data Engineering, backend services, APIs, analytics, and cloud Clienthitecture. The candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Clienture. Key Responsibilities: Data Platform & Engineering: • Design and build scalable Clienture data platforms, ETL/ELT pipelines, and analytical solutions. • Develop large-scale data processing using Clienture Databricks, Spark/PySpark, Clienture Synapse, and Clienture Data Factory. • Design Lakehouse/Medallion Clienthitectures 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 Clienture SQL, Cosmos DB, Kusto, Clienture 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 Clienture Monitor and Application Insights Cloud, DevOps & Technical Leadership • Build and maintain CI/CD pipelines using Clienture DevOps and Git. • Implement secure cloud practices using Clienture Key Vault, identity, authentication, and access controls. • Support Docker and Kubernetes/AKS-based workloads where applicable. Mandatory Skills: Data Engineering • Clienture Databricks, Spark/PySpark • Clienture Synapse Analytics, Clienture Data Factory • ADLS Gen2, Delta Lake • SQL Server / Clienture SQL • Cosmos DB, Kusto / Clienture Data Explorer • ETL/ELT, Data Warehousing & Data Modelling • Lakehouse / Medallion Clienthitecture • Data Quality, Reconciliation & Governance Backend & Services • C#, .NET / ASP.NET Core • REST APIs & Microservices • Clienture Functions • Event Hubs & Service Bus • Entity Framework Core • Authentication & Authorization Cloud & DevOps • Microsoft Clienture • Clienture DevOps, Git & CI/CD • Clienture Monitor & Application Insights • Clienture Key Vault • Docker/Kubernetes

Requirements

Must-haves

Title: Data Platform Engineer (AI experience)
Location: Remote
Duration: Full Time
Design and build scalable Clienture data platforms, ETL/ELT pipelines, and analytical solutions.
Develop large-scale data processing using Clienture Databricks, Spark/PySpark, Clienture Synapse, and Clienture Data Factory.
Design Lakehouse/Medallion Clienthitectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers.
Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core.
Build data and integration services using Clienture SQL, Cosmos DB, Kusto, Clienture 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 Clienture Monitor and Application Insights
Cloud, DevOps & Technical Leadership
Build and maintain CI/CD pipelines using Clienture DevOps and Git.
Implement secure cloud practices using Clienture Key Vault, identity, authentication, and access controls.
Support Docker and Kubernetes/AKS-based workloads where applicable.
Data Engineering
Clienture Databricks, Spark/PySpark
Clienture Synapse Analytics, Clienture Data Factory
ADLS Gen2, Delta Lake
SQL Server / Clienture SQL
Cosmos DB, Kusto / Clienture Data Explorer
ETL/ELT, Data Warehousing & Data Modelling

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestsqlci/cddockerkubernetes

Platform: jobdiva
Effort: medium