Staff Software Engineer, Experimentation and Innovation
4 weeks ago
We are seeking a highly motivated and experienced Staff Software Engineer to join our Experimentation Platform team at SoFi. The goal of the Experimentation Platform team is to build a trustworthy, simplified and unified experimentation platform that democratizes the ability to run high-quality experiments, foster data-informed decision-making, and increases experimental velocity for stakeholders of all technical expertise levels at SoFi.
Key Responsibilities
Collaborate with cross-functional teams to understand experimentation requirements and design scalable solutions
Lead architectural design sessions for the Experimentation Platform including various integrations (APIs, services), emphasizing solutions that seamlessly integrate Snowflake, Airflow, dbt, AWS data services and SaaS solutions.
Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack.
Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services.
Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack.
Stay at the forefront of advancements in experimentation and data methodologies, particularly as they pertain to Snowflake, and other modern tools.
Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.
Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform.
Mentor technical team members in best practices for Experimentation Platform, Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.
Requirements
Advanced degree in Computer Science, Engineering, or an allied technical discipline.
A minimum of 5 years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, docker/k8s and AWS data services.
Strong understanding of data ingestion, Orchestration, transformation and reverse ETL best practices and design principlesProven skills in distributed systems architecture and building scalable solutions.
Mastery in Python, Java and SQL for complex operations within Snowflake, and AWS services like DMS, MSK (Kafka) and S3.
Solid experience on Terraform or Cloudformation as IaC solutions.Demonstrable problem-solving capabilities, especially within the context of the modern data stack and experimentation realm.
Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization.
Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support.
Preferred Qualifications
Expertise in establishing Experimentation Platform, setting best practices and driving the adoption in a collaborative manner.
Experience establishing or working on A/B testing, experimentation, feature rollout, and dynamic configuration.
Implementation experience of any experimentation SaaS tools in the industry
Profound hands-on experience with Snowflake's data warehousing solutions, the orchestration capabilities of Airflow and transformations using dbt.
Experienced with finance / fintech or enthusiastic to learn and grow in this space.
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