Lead Data Platform Engineer

🕒 August 31

🇺🇸 United States – Remote

💵 $185k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The College Board

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1900

📚 Education

🤝 Non-profit

Education • Non-profit

The College Board is a mission-driven, not-for-profit organization dedicated to promoting excellence and equity in education. It connects students to college success and opportunity by supporting them in building essential skills for higher education and removing barriers to access. The College Board operates with a focus on respect, diversity, inclusion, and collaboration, with a diverse and dedicated team of professionals. Based in several locations across the United States, they strive to modernize operations and increase their digital footprint, supporting students and families nationwide.

📋 Description

• Own the technical direction, architecture, evolution, and reliability of a shared enterprise data and analytics platform • Serve as the team's final technical authority and escalation point • Lead hands-on design and implementation of streaming and batch data pipelines for real-time and historical analysis • Write production infrastructure-as-code using CDK/TypeScript • Design curated, governed analytical data products for consistent and trusted reporting and decision-making • Ensure scalability, performance, availability, reliability, cost efficiency, and safe recovery from retries and failures • Establish data contracts with contributing teams covering schemas, data quality, service levels, and change management • Embed security, access controls, lineage, classification, auditability, monitoring, and operational readiness into the platform • Partner with domain, product, operations, security, and governance stakeholders • Lead code and design reviews, set coding standards, mentor engineers, and promote strong data engineering and platform reliability practices • Establish and enforce responsible AI-assisted coding practices and guardrails • Respond to incidents and drive platform reliability • Evaluate emerging tools and architectural patterns and recommend improvements

🎯 Requirements

• Strong, current, hands-on coding experience in TypeScript and/or JavaScript with AWS CDK is required • Demonstrated 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 technologies • Strong experience with analytical data modeling and curated, layered data architectures • Experience with monitoring and observability tools such as CloudWatch, Grafana, InfluxDB, or similar • Experience designing for scalability, performance, cost efficiency, data integrity, and safe recovery from retries or failures • Production debugging experience with 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 establish responsible AI coding-tool guardrails and review standards • Demonstrated success mentoring engineers, leading code and design reviews, serving as an escalation point, and communicating across technical and nontechnical teams • Passion for expanding educational and career opportunities and mission-driven work • Curiosity and enthusiasm for emerging technologies and AI-driven solutions • Clear and concise written and verbal communication skills • Learner's mindset and commitment to growth • Drive for impact and excellence • Collaborative and empathetic approach • Authorization to work in the United States • Helpful but not required: SaaS/multi-tenant or cell-based architecture, DuckDB, ML/AI-enabled analytics tools, regulated/high-governance data environments, hiring or growing a data team, presenting technical roadmaps to non-technical stakeholders, multi-account AWS at organization scale, or education technology familiarity

🏖️ Benefits

• Fully remote work option • Hybrid option for candidates near College Board offices (Tuesday and Wednesday in office) • Occasional travel to meet in person for business purposes • Comprehensive compensation package • Fair and competitive compensation • Location-adjusted salaries • Supportive team and meaningful career • Transparent conversations about compensation and benefits throughout the hiring process