Coretek Services

AI-driven Microsoft cloud consultancy and security

Azure Data & AI Consultant

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

At least 3 years of experience in data engineering, analytics, or AI, with hands-on expertise in Microsoft Azure.
Strong proficiency in SQL and working knowledge of Python for data processing and AI tasks.
Hands-on experience with at least two Azure data services, such as Microsoft Fabric, Azure Synapse Analytics, Databricks, Azure SQL, or Cosmos DB.
Familiarity with Azure AI services, including Azure AI Services, Azure OpenAI, and Cognitive Services.
Experience developing Power BI solutions for advanced analytics and data storytelling.
Understanding of modern data architectures, including data lakes, data warehouses, and real-time streaming solutions.
Knowledge of data governance, data quality, and security best practices.
Strong communication and presentation skills for client-facing engagements.
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Responsibilities

Conduct client workshops, gather requirements, and present solutions to technical and business audiences as a trusted advisor.
Design and implement Azure-based data solutions using Microsoft Fabric, Azure Synapse Analytics, Databricks, and Azure database systems including SQL, Cosmos DB, and Postgres.
Build robust ETL/ELT pipelines to ingest, transform, and integrate large volumes of structured and unstructured data from diverse sources.
Use Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services to deliver intelligent business solutions.
Collaborate with architects to design scalable, secure, and high-performance Azure Data & AI architectures.
Implement version control, CI/CD pipelines, and automation using Azure DevOps, GitHub Actions, and Infrastructure as Code tools including Bicep and Terraform.
Ensure compliance with data governance, privacy, and security requirements, including role-based access control, encryption, and identity management.
Develop advanced reporting and interactive dashboards with Power BI to deliver actionable insights to stakeholders.
Mentor junior team members, contribute to internal best practices, and stay current with Azure Data & AI innovations.

Desired Qualifications

Experience with event-driven architectures using Azure Event Hub, Service Bus, or Kafka.
Familiarity with distributed computing and performance optimization in Databricks/Spark environments.
Experience with consulting or client-facing project delivery.
Exposure to machine learning operations practices and operationalizing machine learning models.
Azure certifications such as Azure Data Engineer Associate (DP-203), Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or Azure Fundamentals (AZ-900).

Consultant -- Azure, Data & AI

Coretek Services · United States (Remote) · — · Posted 2026-10-30

Workplace: remote

Department: Consulting

Description

Coretek is seeking an Azure Data & AI Consultant to design, implement, and optimize modern data and AI solutions on the Microsoft Azure platform. In this role, you will partner closely with clients to modernize data platforms, enable advanced analytics, and deliver AI-driven insights that support business transformation. You will be responsible for building scalable data pipelines, integrating AI services, and ensuring solutions align with industry best practices. This role requires strong technical expertise in Azure data services, experience with AI integration, and the ability to work effectively in a client-facing consulting environment.

Key Responsibilities

Client Engagement: Act as a trusted advisor by conducting workshops, gathering requirements, and presenting solutions to both technical and business audiences.
Data Platform Development: Design and implement Azure-based data solutions using Microsoft Fabric, Azure Synapse Analytics, Databricks, and Azure database systems (SQL, Cosmos DB, Postgres).
Data Engineering: Build robust ETL/ELT pipelines to ingest, transform, and integrate large volumes of structured and unstructured data from diverse sources.
AI Integration: Leverage Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services to deliver intelligent business solutions.
Solution Architecture Support: Collaborate with architects to design scalable, secure, and high-performance Azure Data & AI architectures.
DevOps & Automation: Implement version control, CI/CD pipelines, and automation using Azure DevOps, GitHub Actions, and Infrastructure as Code tools (Bicep, Terraform).
Data Governance & Security: Ensure compliance with data governance, privacy, and security requirements including RBAC, encryption, and identity management.
Analytics & Visualization: Develop advanced reporting and interactive dashboards with Power BI to deliver actionable insights to stakeholders.
Knowledge Sharing: Mentor junior team members, contribute to internal best practices, and stay current with Azure Data & AI innovations.

Requirements

3+ years of experience in data engineering, analytics, or AI, with hands-on expertise in Microsoft Azure.
Strong proficiency in SQL and working knowledge of Python for data processing and AI tasks.
Hands-on experience with at least two Azure data services such as Microsoft Fabric, Azure Synapse Analytics, Databricks, Azure SQL, or Cosmos DB.
Familiarity with AI services in Azure, including Azure AI Services, Azure OpenAI, and Cognitive Services.
Experience developing Power BI solutions for advanced analytics and data storytelling.
Understanding of modern data architectures including data lakes, data warehouses, and real-time streaming solutions.
Knowledge of data governance, data quality, and security best practices.
Strong communication and presentation skills for client-facing engagements.
Bachelor's degree in Computer Science, Data Science, Engineering, or related field.

Preferred:

Experience with event-driven architectures using Azure Event Hub, Service Bus, or Kafka.
Familiarity with distributed computing and performance optimization in Databricks/Spark environments.
Experience with consulting or client-facing project delivery.
Exposure to ML Ops practices and operationalizing machine learning models.
Azure certifications such as Azure Data Engineer Associate (DP-203), Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or Azure Fundamentals (AZ-900).

Why Join Coretek?

Microsoft Azure Expert Partner: Contribute to cutting-edge Azure Data & AI projects with access to Microsoft's latest innovations and technical resources.
Career Growth: Advance your expertise through certifications, hands-on learning, and mentorship opportunities.
Collaborative Culture: Work alongside top-tier architects and consultants in a supportive, client-first environment.
Professional Development: Access to training resources, Azure learning paths, and opportunities to work on diverse client engagements

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About the Company

Coretek Services

AI-driven Microsoft cloud consultancy and security

Coretek delivers Microsoft AI Cloud solutions through high-performance consulting, managed services, and security to help businesses tackle complex challenges. Its offerings combine AI-driven innovation with practical cloud services, including implementation, ongoing management, and protection of cloud workloads. The product mix centers on enabling organizations to build, deploy, and secure AI and cloud-based applications on Microsoft platforms. What sets Coretek apart is its specialized focus on Microsoft AI Cloud, integrated services, and end-to-end support—from strategy and design to execution and ongoing security—allowing clients to move from idea to deployed, secure solutions faster. The company’s goal is to help businesses achieve meaningful outcomes by leveraging Microsoft's cloud and AI capabilities to optimize operations, accelerate innovation, and reduce risk.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: United States
Founded: 2005

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