Principal Engineer - Data Infrastructure

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level. About Keystone AI : With a mission to financially empower the next generation, Keystone AI is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Keystone AI and help create the future of shopping! Compensation : For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience About the Role: We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. Keystone AI is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently. Keystone AI is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies. What you’ll do: End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift. Lead optimizations in database and query performance. ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations. Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business. Help Keystone AI evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL. Evaluate and integrate new technologies, guiding the evolution of Keystone AI ’s data infrastructure. Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management. What We look for: 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems. Deep expertise with MySQL, Postgres, AWS Redshift or similar products , including performance tuning, table design, and workload management. Advanced proficiency in SQL. Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT , AWS DMS , or similar tools. Strong understanding of data modeling , distributed systems, and warehouse/lake design patterns. Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills. Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. Preferred Knowledge and Skills: Prior experience in high-growth, data-intensive fintech or similar regulated environments. Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake. Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming). High enthusiasm for using AI to be as productive as possible. About You: You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that pro