✦ Luna Orbit — AI & Machine Learning

Databricks AI Developer / Architect

at GHK Technologies Inc.

📍 Remote, US Remote Posted April 04, 2026
Type Contract
Experience senior
Exp. Years 5–12+ years
Education Not specified
Category AI & Machine Learning

Databricks AI Developer / Architect to design and build Azure-based data platforms, ML pipelines, and Delta Lake architectures at scale.

  • Databricks Engineering & Architecture
  • Azure cloud integration
  • AI/ML pipelines & MLOps
  • Data governance & security
  • Collaboration with data scientists and stakeholders

Hands-on Databricks with PySpark and Delta Lake; Azure cloud stack; AI/ML pipelines, MLOps, Model Serving, and GenAI integrations.

The ideal candidate is a senior Databricks/Azure engineer and AI architect who can design end-to-end data platforms and ML pipelines using Databricks, PySpark, and Delta Lake on Azure, with ML deployment and MLOps experience.

5–12+ years in Data EngineeringCloudor Analytics roles.Strong hands-on experience with DatabricksPySparkDelta LakeMLflowand Lakehouse architecture.Deep expertise in Azure (ADLSADFSynapseFunctionsKey VaultDevOps).Experience building AI/ML pipelinesmodel deploymentand MLOps workflows.Strong SQLPythonSpark optimizationand distributed computing skills.Experience with CI/CDGitTerraformor Infrastructure-as-Code.Understanding of data governancesecurityand enterprise data management.
Experience with Azure OpenAIDatabricks Model ServingVector Searchor LLM-based applications.Knowledge of streaming technologies (KafkaEvent HubStructured Streaming).Certifications in DatabricksAzureor AI/ML.Experience in large-scale enterprise or multi-cloud environments.
DatabricksAzure Data Lake StorageAzure SynapseAzure SQLAzure FunctionsEvent HubKey VaultAzure DevOpsDatabricks Model ServingMLOps
DatabricksPySparkDelta LakeMLflowLakehouse architectureDelta Live TablesAuto LoaderAzure Data Lake StorageAzure SynapseAzure SQLAzure FunctionsEvent HubKey VaultAzure DevOpsMLOpsAI pipelinesModel ServingAzure OpenAIBedrockGenAISQLPythonSparkCI/CDTerraformInfrastructure-as-Codedata governancesecurityenterprise data management
DatabricksPySparkDelta LakeMLflowLakehouse architectureDelta Live TablesAuto LoaderAzure Data Lake StorageADLSAzure SynapseAzure SQLAzure FunctionsEvent HubKey VaultAzure DevOpsMLOpsModel ServingAzure OpenAIBedrockGenAISQLPythonSparkCI/CDGitTerraformInfrastructure-as-Codedata governancesecurityenterprise data management
leadershipcollaborationcommunicationproblem solvingstakeholder management

Preferred

Databricks CertificationAzure CertificationAI/ML Certification
Industry Consulting
Job Function Design and implement cloud-based data platforms and AI/ML pipelines on Azure
Role Subtype AI Engineer
Tech Domains Azure, Python, SQL / PostgreSQL, Databricks, Spark
DatabricksPySparkDelta LakeMLflowLakehouse architectureDelta Live TablesAuto LoaderAzure Data Lake StorageAzure SynapseAzure SQLAzure FunctionsEvent HubKey VaultAzure DevOpsMLOpsAI pipelinesModel ServingAzure OpenAIBedrockGenAISQLPythonSparkCI/CDTerraformInfrastructure as Codedata governancesecurityenterprise data managementAzure

Lack of Databricks or Azure experience, No experience with AI/ML pipelines

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