Platform Engineer — Azure Data Platform & Analytics

Capgemini; Seattle (WA); On-site; USD 55,000 - 84,000; Full time

Job summary

Capgemini in Seattle is seeking a data engineering professional to design, build, and maintain high-performance, scalable database solutions. You will manage data pipelines with Azure Data Factory and develop analytics workloads on Azure Databricks.

You will also provision infrastructure via Terraform, ensure data security and governance, and collaborate with cross-functional teams to meet data requirements. Strong SQL, performance tuning, and Python scripting are essential.

Qualifications

• Professional-level expertise in database design, SQL, and performance tuning.
• Terraform IaC for cloud and data platforms.
• Azure Data Factory ingestion, orchestration, and pipeline management.
• Azure Databricks data processing, transformation, and analytics.
• Strong understanding of data security, governance, and access control.
• Experience working in cloud-based data platforms, preferably Microsoft Azure.
• Basic Python scripting.

Responsibilities

• Design, build, and maintain high-performance, scalable database solutions.
• Manage and optimize data pipelines and integrations using Azure Data Factory.
• Develop and support data processing and analytics workloads using Azure Databricks.
• Provision and manage infrastructure using Terraform following IaC best practices.
• Ensure data integrity, security, availability, backup, and recovery.
• Collaborate with application, analytics, and platform teams to support data needs.
• Monitor database health and proactively resolve performance and reliability issues.

Skills

Database design

SQL

Performance tuning

Data security

Governance

Python scripting

DR strategies

Cloud experience

Tools

Terraform

Azure Data Factory

Azure Databricks

CI/CD

Job description

Capgemini in Seattle is seeking a data engineering professional to design, build, and maintain high-performance, scalable database solutions. You will manage data pipelines with Azure Data Factory and develop analytics workloads on Azure Databricks.

You will also provision infrastructure via Terraform, ensure data security and governance, and collaborate with cross-functional teams to meet data requirements. Strong SQL, performance tuning, and Python scripting are essential.