Lead Full-Stack Platform Engineer

Role Description

KBRA (KBRA Holdings, LLC) is seeking an engaged and proactive Data Engineer to work with our financial data, along with supplemental data sets which can be utilized to enhance analysis and visibility into the scope and health of various financial institutions. We want someone who loves solving difficult problems, digs deeply to understand the domain in which they’re working, and excels at creating high-quality software in a collaborative environment.

This role involves joining an existing team with a growing product vision. This team operates collaboratively and there is an expectation to get involved in all aspects of design, delivery, and support of our systems, adding features to the product continuously and iteratively. The role requires finesse around legacy codebases, particularly with regards to their extension and maintenance, all with an eye for technical quality that continues to improve as the product matures.

This role emphasizes collaboration with our technical and non-technical counterparts to learn our domain and its unique challenges, while delivering value to our customers. It also requires collaboration with our other engineering, design, product, and platform teams to develop, build, run, and support the system.

In this role you will:

• Set and drive the technical vision for the team and partner with peer staff/principal engineers to shape direction across adjacent teams (data platform, reporting, internal and external frontends & apps).
• Sit at the table with product and business stakeholders (KBRA Analytics, Bank Product) to translate strategy into a multi-quarter technical roadmap, make build/buy/sunset calls, and own the architectural decisions that come out of them.
• Own the architecture of a Snowflake lakehouse ingesting 30+ regulatory and market data sources (FFIEC, FDIC, NCUA, FactSet, Xignite, SEC EDGAR, FRED, etc.) via S3 external tables, Dask-based transforms, and SQS / Mongo change-stream event pipelines.
• Design and evolve reusable Terraform modules spanning AWS, Azure, Snowflake, MongoDB Atlas, GitLab, Datadog, etc.
• Drive CI/CD, IaC, and acceptance-test (BDD/behave) standards across the team.
• Mentor engineers and act as code-owner across IaC, data-lake, and application repos.

Qualifications

• Able to work in a collaborative environment.
• Experience collaborating and communicating with technical and non-technical partners.
• Sense of ownership and craftsmanship in legacy and green field codebases.
• Enjoy helping other developers grow and learn new technologies.
• Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.

Requirements

• Expert Python (ex/ Flask, Dash, Dask, Pandas).
• Deep experience with AWS (ex. S3, IAM, SQS, Lambda, IRSA).
• Terraform at module-author level.
• Advanced SQL and Snowflake (ex. external tables, MVs, performance tuning).
• Experience designing high-throughput ETL over diverse formats (ex. Parquet, JSON, CSV, XML, zipped archives).
• Supporting legacy systems and responding to incidents.

Nice to have skills

• .NET (for cross-team integrations).
• Azure compute/identity/queue services.
• MongoDB Atlas.
• Datadog APM.
• Auth0.
• GitLab CI at scale.

Benefits

• Competitive benefits and paid time off.
• Paid family and disability leave.
• 401(k) plan, including employer match (100% vested).
• Educational and professional development financial assistance.
• Employee referral bonus program.

Salary Range

The anticipated annual base salary range for this full-time position is $110,000 to $160,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.