Lead Data Infrastructure Engineer

You've designed and operated data pipelines at scale before, and you understand what it means to build systems with clear guarantees around correctness and consistency. You think carefully about data models, lineage, and validation — and you're equally comfortable owning the internal platform and the customer-facing products built on top of it.

Data platform, end to end: Own the design, evolution, and operation of Stellic's data pipelines from ingestion through transformation, aggregation, and presentation.

Customer-facing data systems: Design, build, and maintain customer-facing data products built on top of the core data architecture, extending the platform's value directly to university partners.

Scalable, reliable data processing: Build and maintain systems that ensure consistent and reliable data processing at scale, with clear guarantees around correctness and behavior.

Data models across varied requirements: Design data models and pipelines that balance standardization with flexibility to support diverse regional and institutional requirements.

Compliance and partner requirements: Ensure systems meet regional and partner-specific data requirements and compliance constraints.

Platform evolution: Identify and drive improvements across the data platform to support new use cases and increased scale. Establish patterns for data correctness, consistency, and maintainability.

8+ years of data engineering experience with previous technical lead experience

Deep experience designing and operating data pipelines across ingestion, transformation, and aggregation layers

Strong expertise in building scalable data processing systems with clear guarantees around correctness and consistency

Experience designing data models that balance standardization with flexibility across varied requirements

Strong understanding of data correctness, lineage, and validation in complex data systems

Familiarity with ensuring compliance with varied regional and partner-specific data requirements

Ideal candidates will also have experience building and owning customer-facing data systems or data products

Clear and effective communication skills for collaborating with product, design, and customer-facing teams

Deep curiosity, customer empathy, and commitment to engineering as a craft

While we plan on introducing new technologies and capabilities, and potentially migrating away from current ones, here is the general shape of our current stack:

Data Pipeline: Schema: Pydantic Infrastructure: Terraform Data transforms: dbt Orchestration: MWAA / Airflow Storage: S3 + Redshift Serverless Catalog: Glue Data Catalog + Schema Registry Governance: Lake Formation ABAC

Schema: Pydantic

Infrastructure: Terraform

Data transforms: dbt

Orchestration: MWAA / Airflow

Storage: S3 + Redshift Serverless

Catalog: Glue Data Catalog + Schema Registry

Governance: Lake Formation ABAC

Languages: Python, SQL

Frameworks: Django, Angular, React, Remix

Databases: PostgreSQL, ElasticSearch, Redis

Version control: Git (GitHub)

Cloud: AWS

Deployment: AWS CodeDeploy

Observability & Analytics: Sentry, Grafana, Prometheus, PostHog, Metabase

Both single and multi-tenant architecture

Shape the future of higher education at a company leading the transformation of student success.

Work alongside an ambitious, mission-driven leadership team building something meaningful.

Own a piece of the journey with competitive salary, meaningful equity and a culture of excellence, speed and ownership.

Thrive in a flexible, outcome-driven culture built on trust and autonomy.

Exceptional benefits , including health insurance with Stellic covering 99% of your premium and 75% for dependents.

401(k), commuter benefits, and annual international retreats in incredible locations.

Our company values diversity and believes diverse teams make innovation possible. We encourage all qualified applicants from any race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or other characteristics to apply.