About Andarz
Andarz is an AI-first learning companion for K-12. We help students get helpful, step-by-step answers in the right learning moment. We’re building a data platform that powers real-time product decisions and model quality.
Why this role?
You’ll own the data foundation that drives our product, from ingestion to analytics to ML features. Your work directly impacts activation, retention, and learning quality.
What you’ll do
- Design and build batch/streaming pipelines for product, content, and ML telemetry (events, RAG signals, quiz outcomes).
- Model source-of-truth datasets for Product Analytics (HS/WAU, ESR, TTFR, Q/WAU), Marketing, and Finance.
- Productionize data transformations and data quality checks (SLAs, contracts, lineage).
- Partner with MLOps to ship feature stores and offline/online datasets.
- Stand up reliable BI access (Metabase/Looker) with governed metrics and documentation.
- Optimize storage and query performance; control costs.
What we’re looking for
- 4+ years building data platforms at scale.
- Strong SQL + one of Python/Scala. Hands-on with orchestration (Airflow/Prefect), transformation (dbt/Spark), and streaming (Kafka/Kinesis/PubSub).
- Experience with modern warehouses/lakes (BigQuery/Snowflake/Redshift/Lakehouse), schema design, and partitioning.
- Data quality & governance mindset (tests, contracts, lineage, SLAs).
- Comfort working with product and ML teams; bias to ship.
Nice to have
- Feature store experience (Feast/Tecton) and real-time analytics.
- Event modeling (user journeys, funnels, attribution).
- Ed-tech or consumer apps; familiarity with Persian data is a plus.
Our stack (evolving)
SQL + Python, dbt, Airflow, Kafka, Postgres, BigQuery/Snowflake, Metabase; GCP/AWS; GitHub Actions/Terraform.
Success in 90 days
- Reliable pipelines for core events; trusted HS/WAU, ESR, TTFR dashboards live.
- A documented data model and quality checks that catch issues before users do.
Working at Andarz
AI-first, business-driven, user-obsessed. Competitive comp, meaningful equity, flexible hours, high ownership, and a product that improves how students learn. We’re an equal-opportunity team.