Senior Data Engineer, Data Transformation Platform

Accountabilities

• Design, develop, and maintain production data pipelines using Python, SQL, and dbt across Google Cloud Platform, including BigQuery, Cloud Composer, and Dataproc, as well as Databricks.
• Own data architecture, pipeline design, and data modeling to create scalable, reliable, and maintainable schemas and transformation workflows.
• Profile, troubleshoot, and optimize large-scale data processing jobs to improve performance, efficiency, and infrastructure costs.
• Lead roadmap initiatives from beginning to end, including developing new pipelines, migrating legacy workflows, and modernizing the underlying data platform.
• Maintain the health and reliability of production systems through pipeline monitoring, troubleshooting, root-cause analysis, and participation in an on-call rotation.
• Conduct code reviews, mentor engineers and analysts, and promote high standards of engineering quality and maintainability.
• Improve development practices and team tooling, including the adoption of AI-assisted development tools such as Claude Code.
• Collaborate with analysts, product teams, and other engineering groups to translate business and data requirements into accurate, sustainable data transformations.
• Proactively evaluate new technologies and identify opportunities to improve the platform's architecture, workflows, and operational performance.

Requirements:

• At least 7 years of experience designing, building, and operating production data pipelines and data platforms on a major cloud provider, preferably Google Cloud Platform (GCP).
• Strong data modeling and architecture capabilities, with a track record of designing pipelines and schemas that other engineers can maintain, understand, and extend.
• Advanced proficiency in Python and SQL, with hands-on experience using dbt and Apache Spark.
• Experience with Scala or Java is an advantage.
• Demonstrated ability to optimize large-scale data processing workloads, delivering measurable improvements in performance and cost efficiency.
• Experience managing deployment processes and orchestration for complex production data pipelines.
• Practical experience using Databricks for data pipelines and analytics, including workspace administration.
• Familiarity with cloud-based data services and technologies such as BigQuery, Cloud Composer, and Dataproc, or comparable solutions.
• Strong problem-solving and troubleshooting skills, with the ability to take ownership of production issues and identify their underlying causes.
• Self-directed working style, with the ability to operate independently, prioritize effectively, and make a meaningful impact within a small team.
• Excellent collaboration and communication skills, with the ability to work closely with technical and non-technical stakeholders.
• Curiosity about structured finance and financial markets. Previous financial industry experience is preferred but not required, as relevant domain knowledge can be developed on the job.

Benefits:

• Annual base salary range of $160,000–$175,000, with final compensation determined by experience, expertise, and other business considerations.
• Paid time off, including vacation days, personal holidays, paid sick leave, and company holidays.
• 401(k) retirement plan with company matching.
• Comprehensive medical, dental, and vision insurance for employees and their families.
• Paid parental leave: 10 weeks for all parents and 16 weeks for birthing parents, at 100% of salary.
• Fertility support with a lifetime maximum benefit of $25,000.
• Backup childcare support through Bright Horizons.
• Professional learning and development opportunities, including support for certifications, courses, graduate programs, and MBAs.
• Access to internal development and mentorship programs, including management and technical training academies.
• Gym and wellness memberships through Wellhub.
• Free mental health support through Spring Health and access to a confidential Employee Assistance Program.
• Annual home office allowance of $250.
• Pre-tax commuter benefits.
• Employee referral program offering rewards ranging from $2,500 to $10,000.
• Employee resource groups and opportunities to participate in community initiatives.
• Donation matching and paid volunteer hours, including company-funded service trips.

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