Senior Microsoft AI Cloud and Data Solutions Engineer

Job Title

Senior Microsoft AI Cloud & Data Solutions Engineer

Employment Type:

Role Overview

We are looking for a senior, hands-on Microsoft AI Cloud & Data Solutions Engineer to design, build, and operate scalable data and AI platforms on Microsoft Azure. This is an individual contributor role focused on execution, delivery, and problem-solving. You will work closely with engineering, analytics, and business teams to implement modern data architectures and AI-driven solutions.

Key Responsibilities

Cloud & Data Engineering

• Design and implement end-to-end data solutions on

  Microsoft Azure

• Build and maintain data pipelines using

  Azure Data Factory

  ,

  Databricks

  ,

  Synapse Analytics

  , or

  Microsoft Fabric

• Architect and optimize data lakes and warehouses using

  ADLS Gen2

  ,

  Azure SQL

  , or

  PostgreSQL

• Perform data modeling (fact/dimension, analytical schemas) for reporting and analytics
• Optimize solutions for performance, scalability, and cost

AI & Advanced Analytics

• Build and integrate AI/ML solutions using

  Azure Machine Learning

  and

  Azure OpenAI

• Develop and deploy inference pipelines and AI-enabled features
• Support analytics and BI platforms such as

  Power BI

  ,

  Domo

  , or similar tools
• Enable batch and near-real-time analytics use cases

DevOps, Security & Operations

• Implement CI/CD pipelines for data and AI workloads using

  Azure DevOps

  or

  GitHub Actions

• Monitor, troubleshoot, and support production data and AI systems
• Apply Azure security best practices (RBAC, Managed Identities, networking)
• Maintain technical documentation and operational runbooks

Collaboration & Delivery

• Work directly with product, analytics, and business stakeholders to translate requirements into technical solutions
• Collaborate with offshore teams, vendors, and partners
• Participate in design reviews and provide practical, execution-focused guidance

Required Skills & Experience

Must-Have

• 7+ years

  of hands-on experience in cloud engineering, data engineering, or analytics
• Strong expertise with

  Microsoft Azure

• Hands-on experience with:
  

• ADLS Gen2

• Azure Data Factory

• Azure Synapse Analytics

  or

  Databricks

• Azure SQL / PostgreSQL

• Strong

  SQL

  and

  Python

  skills
• Solid understanding of data modeling, ETL/ELT patterns, and analytics architectures

AI & Platform Experience

• Hands-on experience with

  Azure Machine Learning

  and/or

  Azure OpenAI

• Experience deploying and operating AI models in production
• Understanding of model lifecycle, monitoring, and governance

DevOps & Security

• Experience with CI/CD using

  Azure DevOps

  or

  BitBucket

• Knowledge of Azure identity, access control, and networking concepts

Nice to Have

• Experience with

  Microsoft Fabric

• Experience with

  Power BI

• Exposure to streaming technologies (Event Hubs, Kafka)
• Azure certifications (e.g.,

  DP-203

  ,

  AI-102

  ,

  AZ-104

  )

What Success Looks Like

• Reliable, scalable data pipelines running in production
• Clean, well-modeled data available for analytics and reporting
• AI solutions delivering measurable business value
• Minimal operational issues and fast resolution when they occur

Why Join Us

• Work on modern AI-driven cloud and data platforms
• Flexible engagement model (full-time or part-time)
• Opportunity to make a direct impact in a hands-on role