Site Reliability Engineer, Lead - Data Platforms
About The Position
The Toyota Financial Services Technology Operations Center is looking for a passionate and highly motivated Site Reliability Engineer – Data Platforms. Reporting to the Manager of SRE Departments, the individual in this role will be focus strengthen our Site Reliability Engineering (SRE) capabilities across a diverse data platforms and pipeline/framework ecosystem. This role blends data engineering expertise with reliability, automation, and observability practices to ensure our data flows are resilient, scalable, and continuously improving. You’ll support Python‑based data pipelines, Informatica for data transformation, and Snowflake for cloud data warehousing. You’ll also play a central role in building robust monitoring and alerting frameworks, including deep integration with Dynatrace.
Requirements
- Bachelor’s degree in information technology or related field.
- Solid understanding of SRE concepts: SLIs, SLOs, error budgets, incident response.
- 8+ years of experience in SRE, data engineering, DevOps, or related fields.
- Strong proficiency in Python for data processing, automation, and tooling.
- Hands‑on experience with Informatica PowerCenter.
- Deep understanding of Snowflake architecture, performance tuning, and data‑loading patterns.
- Strong experience with Dynatrace, including: Setting up dashboards, alerts, and SLOs Creating custom metrics and integrations Monitoring distributed systems and data pipelines
- Solid understanding of observability concepts (metrics, logs, traces) and incident management.
Nice To Haves
- Experience with Autosys, Airflow, or similar orchestration tools.
- Strong SQL skills and experience with large‑scale data systems.
Responsibilities
- Design, implement, and maintain monitoring, alerting, and observability for data pipelines and ETL/ELT workflows.
- Build and optimize Dynatrace dashboards, alerts, custom metrics, and integrations to ensure proactive detection of issues.
- Lead incident response, root‑cause analysis, and long‑term remediation efforts.
- Improve system reliability through automation, performance tuning, and resiliency best practices.
- Reduce operational toil by identifying and automating repetitive tasks.
- Support, troubleshoot, and enhance Python‑based data pipelines/frameworks.
- Work with Informatica PowerCenter/Cloud to design, optimize, and maintain ETL workflows.
- Manage and optimize data ingestion, transformation, and loading into Snowflake.
- Collaborate with data engineering and analytics teams to ensure data quality, consistency, and performance.
- Develop and maintain job scheduling and orchestration using Autosys and Airflow.
- Build automation for deployments, validations, and operational workflows.
- Optimize pipelines for data and ETL processes.
- Build and Maintain components required to Automate operational workflows and reduce toil using Python or equivalent scripting language.
Benefits
- A work environment built on teamwork, flexibility, and respect
- Professional growth and development programs to help advance your career, as well as tuition reimbursement
- Team Member Vehicle Purchase Discount
- Toyota Team Member Lease Vehicle Program (if applicable)
- Comprehensive health care and wellness plans for your entire family
- Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
- Paid holidays and paid time off
- Referral services related to prenatal services, adoption, childcare, schools and more
- Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
- Relocation assistance (if applicable)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
