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Data Platform Engineer (AI experience)

Resource Logistics · Austin, TX · Remote

100100

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Data Platform Engineer (AI experience) at Resource Logistics. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

  • Clienture Databricks
  • Spark
  • PySpark
  • Clienture Synapse
  • 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 Architecture
  • Data Quality
  • Reconciliation
  • Governance
  • C#
  • .NET
  • ASP.NET Core
  • REST APIs
  • Microservices
  • Clienture Functions
  • Event Hubs
  • Service Bus
  • Entity Framework Core
  • Authentication
  • Authorization
  • Microsoft Clienture
  • Clienture DevOps
  • Git
  • CI/CD
  • Clienture Monitor
  • Application Insights
  • Clienture Key Vault
  • Docker
  • Kubernetes

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