Your OpportunityAt Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Schwab Data is transforming enterprise data and analytics through a secure, scalable, and self-service Google Cloud-based ecosystem and to empower business-led analytics at scale-safely, reliably, and with speed.
We are seeking a seasoned Software Engineer to be part of Self-Service Analytics Platform team where you will own the reliability and evolution of our home-grown self-service platform that enables business teams to build and run analytics with minimal friction. As part of this role, you will keep the environment healthy on Linux, diagnose and fix defects, and partner with Architecture to plan platform changes, add-ons, and upgrades. A core focus is a critical modernization, migrating the workloads from the current legacy platform to a modernized solution, Farnam, while de-centralizing analytics to business units and strengthening day-to-day operational support. The work is highly visible and cross-functional, with broad exposure to Java, Python, C#/ .NET, Control-M, BigQuery, and SQL as we advance platform security, automation, and developer experience across Schwab.
Key Responsibilities:
- Own platform health and reliability for the self-service environment: monitor/triage, root-cause and resolve issues, and perform installation, upgrades, and application support on Linux.
- Lead the modernization effort to migrate Batch Framework workloads to Farnam; ensure robust operational support for Batch Framework during transition and partner with scheduling/orchestration stakeholders (e.g., Control-M) to bridge metadata and process gaps.
- Onboard new user groups and partner with Architecture on environment changes, add-on usage, and upgrades; implement security best practices for batch usage, version control, code migration, UNIX scripting, logging, and release procedures.
- Drive operational excellence by evaluating and implementing utilities and automation that increase platform/process efficiency and reduce support toil; measure and communicate improvements. Ensure disaster recovery and resilience strategies are defined, tested, and continuously improved for mission-critical data platforms and services.
- Build with a rigorous, multi-language toolbox-Java, Python, C#/ .NET (and .NET APIs), Control-M, BigQuery, and SQL to enhance the platform's developer experience and scalability for federated analytics teams.
What you haveRequired qualifications:
- Bachelor's degree in Computer science, Engineering, or a related field.
Minimum 5 years of experience with dedicated focus on Object-Oriented Programming, such as Python, Perl, .NET, and Java
Strong UNIX skills, SQL skills, and infrastructure knowledge
- Advanced Python and .NET skills for platform enhancements and automation of platform maintenance tasks
Preferred Qualifications
- Demonstrated ability to lead technical initiatives, supervise small engineering teams, and work collaboratively across functions to deliver scalable solutions.
- Experience managing the full lifecycle of cloud services, including provisioning, monitoring, scaling, and decommissioning, with a strong focus on security, compliance, and operational excellence
- Highly organized and driven by nature, able to uphold agile methodology and source control (Bitbucket/GitHub) consistently
Experience with Jira and Remedy ticketing systems
Experience supporting production operations in a high-availability environment
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