Lead Data Platform Engineer - External Data Analytics
Full-Time
$185k - $200k
Senior, Expert
Remote in USA
RemoteRemote employees may occasionally travel to meet in person. Nearby CB-office residents may choose hybrid work with Tuesdays and Wednesdays in office.
Data & AnalyticsData Engineering
About the job
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, using 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/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, including personally debugging production issues such as 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.
A strong point of view on responsible team-level use of AI coding tools, including setting guardrails and review standards.
Demonstrated success mentoring engineers, leading code and design reviews, serving as an escalation point on difficult problems, and communicating across technical and nontechnical teams.
Authorization to work in the United States.
Passion for expanding educational and career opportunities and mission-driven work.
Curiosity and enthusiasm for emerging technologies, willingness to experiment with and adopt AI-driven solutions, and comfort learning and applying new digital tools independently and proactively.
Clear and concise written and verbal communication skills.
A learner's mindset, commitment to growth, openness to diverse perspectives, timely and respectful feedback, and continuous improvement through iterative learning and user input.
Drive for impact and excellence, including solving complex problems, making data-informed decisions, prioritizing effectively, and improving through learning, user input, and external benchmarking.
A collaborative and empathetic approach to working across differences, fostering trust, and contributing to shared success.
Responsibilities
Own the technical direction, architecture, evolution, and reliability of a shared enterprise data and analytics platform, serving 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, writing production infrastructure-as-code using CDK and TypeScript.
Design curated, governed analytical data products that provide consistent and trusted information for reporting and decision-making, supporting continuous, year-round data loads rather than single-event spikes.
Ensure the platform scales efficiently and meets performance, availability, reliability, and cost expectations, including safe recovery from retries and failures.
Establish data contracts with contributing teams, including expectations for 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 to translate business and reporting needs into sustainable technical solutions.
Lead code and design reviews, set and enforce coding standards, mentor engineers across experience levels, and promote strong data engineering, automation, observability, and platform-reliability practices.
Establish and enforce responsible AI-assisted coding practices for the team, including review of AI-generated code and guardrails to protect shared infrastructure.
Respond to incidents and drive platform reliability across the team's services.
Evaluate emerging tools and architectural patterns and recommend changes that improve outcomes, simplify operations, or reduce risk.
Desired Qualifications
Experience with SaaS or multi-tenant architecture, or cell-based architecture.
Experience with DuckDB.
Experience with machine-learning or AI-enabled analytics tools such as SageMaker.
Experience in a regulated or high-governance data environment.
Experience hiring or growing a data team.
Experience presenting technical roadmaps to nontechnical stakeholders.
Experience with multi-account AWS at organizational scale.
Familiarity with the education technology domain.
Lead Data Platform Engineer, External Data Analytics
College Board - Technology – InfoSec & Infrastructure
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). All CB employees are required to occasionally travel to meet in person for business purposes.
Type: This is a full-time position
About the Team
The External Data Analytics team builds and operates the data platform that powers trusted, timely analytics across College Board's exam and AP Classwork programs, including AP Classwork's continuous, year-round data needs. We're a small, closely knit, cross-functional team (~7 engineers today, and growing) with a mix of data engineering and full-stack backgrounds. We value ownership, thoughtful automation, clear documentation, pragmatic architecture, and keeping students top of mind in everything we build.
About the Opportunity
As the technical lead for the platform, you'll own architecture end-to-end and serve as the final technical authority on the team's hardest problems, operating a level above a senior IC. You'll stay hands-on yourself, writing production infrastructure-as-code and setting the coding standards the team follows, while leading design and implementation across streaming and batch ingestion, curated analytical data products, and reliable data-consumption patterns. Because our immediate priority is AP Classwork analytics, you'll be designing for continuous, steady-state, year-round throughput and long-running data quality, often working through ambiguity as requirements and priorities evolve; not just a single test-day spike.
You will work with contributing domain teams to establish data contracts and ensure data is accurate, governed, secure, and ready for analysis, making and communicating tradeoffs involving scale, performance, reliability, cost, and operational complexity along the way. You'll also set the standard for how the team uses AI-assisted coding responsibly, establishing review practices and guardrails for AI-generated code, and, as a technical anchor for the team, mentor engineers and raise engineering standards across the platform.
In this role, you will:
Own the technical direction, architecture, evolution, and reliability of a shared enterprise data and analytics platform, serving as the team's final technical authority and escalation point.
Lead the hands-on design and implementation of streaming and batch data pipelines supporting real-time and historical analysis, independently writing production infrastructure-as-code (CDK/TypeScript).
Design curated, governed analytical data products that provide consistent and trusted information for reporting and decision-making, including for a continuous, year-round data load rather than single-event spikes.
Ensure the platform can scale efficiently while meeting expectations for performance, availability, reliability, and cost, including safe recovery from retries and failures.
Establish data contracts with contributing teams, including expectations for 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 to translate business and reporting needs into sustainable technical solutions.
Lead code and design reviews, set and enforce coding standards, mentor engineers across varying experience levels, and promote strong practices in data engineering, automation, observability, and platform reliability.
Establish and enforce responsible AI-assisted coding practices for the team, including reviewing AI-generated code and setting guardrails so AI-assisted development doesn't compromise shared infrastructure.
Respond to incidents and drive platform reliability across the team's services.
Evaluate emerging tools and architectural patterns and recommend changes when they improve outcomes, simplify operations, or reduce risk.
About You:
You bring experience across the capabilities below. We do not expect candidates to have worked with our exact tool stack for everything; comparable tools and the judgment to map your experience onto ours quickly matter.
Strong, current, hands-on coding experience in TypeScript and/or JavaScript with AWS CDK is required. You'll be writing production infrastructure-as-code yourself and setting the coding standards the rest of the team follows from Day 1, not just reviewing architecture from a distance.
Demonstrated experience owning, not just contributing to, the technical direction and architecture of a scalable cloud data platform in production; you can point to a specific system you were accountable for end-to-end, built on technologies such as Kinesis, Data Firehose, Flink, Lambda, EventBridge, SNS/SQS, Redshift, Athena, Glue, EMR, S3, DynamoDB, or comparable.
Strong experience with analytical data modeling and curated, layered data architectures (e.g., medallion-style), plus monitoring/observability (CloudWatch, Grafana, InfluxDB, or similar) as a core part of platform design.
A track record of designing for scalability, performance, cost efficiency, data integrity, and safe recovery from retries or failures; you've personally debugged issues like out-of-order processing, duplicate delivery, or hot partitions in production.
Experience establishing data contracts and implementing schema evolution, data quality, access control, classification, lineage, and auditability practices.
A strong point of view on how to use AI coding tools responsibly at the team level, able to set guardrails and review standards, not just use the tools personally.
Demonstrated success of mentoring engineers, leading code and design reviews, being the escalation point on hard problems, and communicating across technical and nontechnical teams.
Helpful but not required: SaaS/multi-tenant or cell-based architecture, DuckDB, ML/AI-enabled analytics tools (e.g., SageMaker), a regulated/high-governance data environment, experience hiring or growing a data team, presenting technical roadmaps to non-technical stakeholders, multi-account AWS at org scale, or familiarity with the education technology domain.
All roles at College Board require:
A passion for expanding educational and career opportunities and mission-driven work
Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.
Clear and concise communication skills, written and verbal
A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success
Authorization to work in the United States
About Our Process
Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.
What We Offer
At College Board, we offer more than a paycheck: we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
The hiring range for this role is $185,000–$200,000.
Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
We adjust salaries by location to ensure fairness, no matter where you live.
You’ll have open, transparent conversations about compensation, benefits, and what it’s like to work at College Board throughout your hiring process. Check out our careers page for more.