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snowflake sql python gcp dbt📋 Description
- Translate product vision into a technical roadmap; execute with velocity.
- Lead a high-performance engineering team with PM/Data Science/Data Ops.
- Turn R&D (ML models) into production features quickly.
- Architect a reliable, scalable data platform to answer business questions.
- Communicate complex tech topics clearly to stakeholders.
- Lead AI initiatives to boost productivity and data quality.
🎯 Requirements
- Deep expertise in modern data stacks: cloud warehouses, ETL/ELT, orchestration, streaming, analytics.
- Designing warehouses/pipeline architectures; migrations; trade-offs.
- Proficiency in SQL, Python, GCP/BigQuery, ML Ops, Databricks/Snowflake, dbt, Spark.
- Experience scaling early-stage orgs; cross-functional leadership with Data Science; productionizing R&D.
- Experience managing remote/nearshore teams across geographies and with executives.
- Leveraging AI to accelerate development while ensuring quality and privacy/compliance.
🎁 Benefits
- Work from anywhere in the US
- Meaningful stock options
- Full healthcare benefits
- Unlimited PTO; closed last week of December
- 401k plan with no waiting period
- Home Office setup reimbursement
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