Platform Engineer - Databricks

Sumitomo Mitsui Banking Corporation • Charlotte, NC

3d • Hybrid

About The Position

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
Role DescriptionWe are seeking a proactive and detail-oriented Databricks L1 Support Engineer to join our team. In this role, you will collaborate closely with application teams to build and deploy Data Landing Zones (DLZ) using Infrastructure as Code (IaC). This involves deploying commonly requested Azure resources, automating common processes, and ensuring smooth onboarding of new application teams into the Databricks environment.Role Objectives-Provide first-level support to application teams via ServiceNow ticketing system- Gather and analyze requirements to onboard new DLZs- Execute pipelines and scripts to provision or modify Azure and Databricks resources- Automate repetitive tasks and improve existing support processes.- Create and maintain comprehensive documentation for support procedures and workflows- Collaborate with cross-functional teams to resolve common support requests efficiently

Requirements

• 1–3 years of hands-on experience with Databricks
• 1–3 years of experience with Azure Data Factory
• Background in application support or technical operations
• Familiarity with major cloud platforms i.e. Azure, AWS, GCP
• Experience with source control i.e. Git, GitHub, GitLab

Nice To Haves

• In-depth knowledge of Databricks features such as Unity Catalog, RBAC, authentication methods, delta sharing- Databricks
• Experience working within the Azure ecosystem
• Proficiency in IaC tools i.e. Terraform, AWS CDK, Bicep
• Experience with CI/CD pipelines using automation tools i.e. Azure DevOps, Jenkins, GitHub Actions
• Experience in scripting and development skills i.e. Python, PowerShell, Bash

Responsibilities

• Provide first-level support to application teams via ServiceNow ticketing system
• Gather and analyze requirements to onboard new DLZs
• Execute pipelines and scripts to provision or modify Azure and Databricks resources
• Automate repetitive tasks and improve existing support processes.
• Create and maintain comprehensive documentation for support procedures and workflows
• Collaborate with cross-functional teams to resolve common support requests efficiently

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees