Senior Data Platform Engineer - Snowflake

Korn Ferry; Wisconsin; Remote; USD 70,000 - 85,000; Full time

Job summary

An established industry player is seeking a Senior Data Platform Engineer to enhance their cloud infrastructure. This role focuses on building an Azure-based data lakehouse, automating resource provisioning, and integrating tools for data observability. With a commitment to innovation, the company offers a dynamic environment where your expertise in Snowflake and Terraform will be crucial. Join a forward-thinking team that values collaboration and continuous improvement, and make a significant impact on data engineering capabilities. If you are passionate about cloud technologies and eager to drive transformation, this opportunity is for you.

Qualifications

• 6+ years in cloud infrastructure or platform engineering.
• Strong understanding of Azure and Snowflake data architectures.

Responsibilities

• Develop and maintain Azure-based data lakehouse infrastructure.
• Automate resource provisioning using Infrastructure-as-Code.

Skills

Cloud Infrastructure

Data Platforms

SQL

Python

Infrastructure-as-Code

Observability

Tools

Snowflake

Terraform

Azure

Fivetran

dbt

Datadog

Azure Bicep

Job description

Senior Data Platform Engineer - Snowflake (BBBH1669802) Wisconsin, USA

Salary: USD70 - USD85 per year

Job Title: Senior Data Platform Engineer - Interim to Hire

Location: 100% Remote

Pay: $70/hr to $85/hr W2

Overview: Korn Ferry is seeking a Senior Data Platform Engineer to join our client's Platform Engineering team. Our client is a Global Private Equity Firm with over 85 SaaS product companies. This role involves building and maintaining infrastructure and self-service capabilities to support Data Engineering teams managing data pipelines. A key focus is developing our Azure-based data lakehouse architecture.

Key Responsibilities:

• Develop and maintain infrastructure for Azure-based data lakehouse, including Snowflake and other Azure data services.
• Automate resource provisioning using Infrastructure-as-Code (e.g., Terraform) and integrate with CI/CD pipelines.
• Support and integrate tools like Fivetran, dbt, and Datadog for self-service and observability.
• Create self-service workflows for data engineers and analysts to provision code repositories, CI/CD pipelines, data pipelines, storage, and services.
• Ensure secure and performant connectivity between services (e.g., Azure Private Link for Snowflake, Salesforce).
• Collaborate with Security team to ensure compliance and secure access controls.
• Participate in platform observability and incident response related to data infrastructure.
• Lead capacity planning, performance benchmarking, and cost optimization initiatives.
• Introduce templates for common data use cases to accelerate onboarding.
• Provision data infrastructure for GenAI workloads, including vector stores and retrieval-augmented generation pipelines.

Required Qualifications:

• 6+ years of experience in cloud infrastructure or platform engineering, focusing on data platforms.
• Strong understanding of databases, data lakes, data warehouses, and lakehouse architectures within Azure and Snowflake environments.
• Experience with Snowflake configurations and commands using SQL and Python.
• Hands-on experience with infrastructure automation (e.g., Terraform, Azure Bicep).
• Experience with tools like Fivetran, dbt, and Metaplane.
• Familiarity with Metaplane or equivalent data observability tools.
• Proficiency in designing for observability, scalability, and reliability in cloud-native environments.

Please include your first and last name, email, phone number (with country code), and CV/Resume. Confirm your eligibility to work in the country where you're applying (work permit/visa/citizenship). This information helps us evaluate your fit for the role and proceed with the application process.