Platform Engineer

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

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

Required Skills

• Professional-level expertise in database design, SQL, and performance tuning
• Terraform Infrastructure as Code for cloud and data platforms
• Azure Data Factory data 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

Nice to Have

• Experience with large-scale data platforms and analytics solutions
• Exposure to CI/CD, automation, and monitoring for data systems
• Knowledge of high availability and disaster recovery strategies

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.