Lead Data Platform Engineer
College Board2 months ago
Remote, United StatesStaff+
Base Salary
$185k - $200k/yr
Responsibilities
- Own the technical direction, architecture, evolution, reliability, and escalation handling for a shared enterprise data and analytics platform.
- Lead hands-on design and implementation of streaming and batch data pipelines for real-time and historical analysis.
- Write production infrastructure-as-code with AWS CDK and TypeScript while setting team coding standards.
- Design curated, governed analytical data products for continuous, year-round data loads.
- Establish data contracts covering schemas, data quality, service levels, and change management.
- Embed security, access controls, lineage, classification, auditability, monitoring, and operational readiness into the platform.
- Design for scalability, performance, availability, reliability, cost efficiency, and safe recovery from retries and failures.
- Partner with domain, product, operations, security, and governance stakeholders to translate needs into sustainable technical solutions.
- Lead code and design reviews, mentor engineers, and improve practices in data engineering, automation, observability, and platform reliability.
- Establish guardrails and review standards for responsible AI-assisted coding.
- Respond to incidents, drive platform reliability, and evaluate emerging tools and architectural patterns.
Requirements
- Strong current hands-on coding experience in TypeScript and/or JavaScript with AWS CDK.
- Experience owning the technical direction and architecture of a scalable cloud data platform in production.
- Experience with technologies such as Kinesis, Data Firehose, Flink, Lambda, EventBridge, SNS, SQS, Redshift, Athena, Glue, EMR, S3, DynamoDB, or comparable tools.
- Strong experience with analytical data modeling, curated layered data architectures, and monitoring or observability.
- Experience designing for scalability, performance, cost efficiency, data integrity, and recovery from retries or failures, including production debugging of out-of-order processing, duplicate delivery, or hot partitions.
- Experience establishing data contracts and implementing schema evolution, data quality, access control, classification, lineage, and auditability practices.
- Ability to set responsible AI coding guardrails and review standards at the team level.
- Experience mentoring engineers, leading code and design reviews, serving as an escalation point, and communicating with technical and nontechnical stakeholders.
- Helpful qualifications include SaaS or multi-tenant architecture, cell-based architecture, DuckDB, SageMaker or other ML/AI-enabled analytics tools, regulated or high-governance data environments, growing a data team, presenting technical roadmaps, multi-account AWS at organizational scale, or education technology experience.
- Authorization to work in the United States.
Benefits
- Full-time, fully remote role with optional hybrid work on Tuesdays and Wednesdays for candidates near College Board offices.
- Occasional travel is required for in-person business purposes.
- College Board offers a comprehensive benefits package and a mission-driven nonprofit work environment.
- Compensation is adjusted by location and discussed transparently throughout the hiring process.
Tech Stack
Categories
Data Engineering
About College Board
College Board is a nonprofit education organization that builds and administers programs such as the SAT, PSAT/NMSQT, Advanced Placement, CLEP, and BigFuture planning tools for students, schools, and colleges. It generates revenue primarily through exam and program fees and services to educational institutions. Founded in 1900 and headquartered in New York, it works with U.S. secondary schools and higher-ed admissions to deliver assessments and course frameworks.