Azure Cloud Data Architect: Lakehouse & AI Analytics

PeopleCert Group; Kentucky; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Two certification vouchers per year

Professional development opportunities

Job summary

PeopleCert is seeking a Cloud Data Architect to design and evolve enterprise data platforms on Microsoft Azure, including data warehouse, data lake, and lakehouse architectures. You will lead data ingestion, governance, and analytics initiatives across BI and ML workloads.

The role requires hands-on Azure experience, strong SQL/Python skills, and the ability to translate business needs into scalable data architectures in a global environment.

Qualifications

• Proven experience designing and delivering modern cloud data platforms.
• Strong hands-on Azure data ecosystem knowledge (Fabric, Databricks, ADLS, Data Factory).
• Experience with Enterprise Data Warehouse and Lakehouse architectures.

Responsibilities

• Design and evolve Enterprise Data Warehouse, Data Lake and Lakehouse architectures on Azure.
• Architect data solutions using Fabric and Databricks as core components.
• Design data ingestion using Fabric Data Factory and Azure Data Factory.

Skills

Cloud data architecture

Microsoft Azure data ecosystem

Microsoft Fabric

Azure Databricks

Azure Data Lake Storage

Data Factory / Fabric Data Factory

ETL/ELT pipelines

SQL/T-SQL

Python / PySpark / Spark

Power BI

Data governance / MDM

CI/CD / DataOps

Azure DevOps / Git

Cloud security / FinOps

English proficiency

Education

Bachelor’s or Master’s degree in CS/DS/Engineering/Math

Tools

Microsoft Fabric

Azure Databricks

Azure Data Factory

Power BI

Azure Data Lake Storage

Delta Lake / Lakehouse

Databricks notebooks

Git

Azure DevOps

Job description

PeopleCert is seeking a Cloud Data Architect to design and evolve enterprise data platforms on Microsoft Azure, including data warehouse, data lake, and lakehouse architectures. You will lead data ingestion, governance, and analytics initiatives across BI and ML workloads.

The role requires hands-on Azure experience, strong SQL/Python skills, and the ability to translate business needs into scalable data architectures in a global environment.