Senior Data Engineer
Core
Design, architect, and build a new BI data warehouse and lake from the ground up to aggregate complex data streams for internal analytics and future customer-facing insights.
Role type
Senior IC data engineer (0-1 greenfield build)
Builds
Centralized data warehouse/lake, automated ETL/ELT pipelines, data governance frameworks
Domain
K-12 education SaaS, cloud data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data warehousing (Snowflake, Databricks, Azure Synapse, AWS Redshift), ETL/ELT pipeline development, complex SQL and query tuning, Python/Scala/C#, SaaS integrations (Salesforce, Gainsight), data governance, cost-conscious architecture
Preferred skills
MongoDB integration, non-relational to relational data modeling
Technologies
Snowflake, Databricks, Azure Synapse, AWS Redshift, dbt, Apache Airflow, Azure Data Factory, Azure SQL, SQL Server, PostgreSQL, MongoDB, Python, Scala, C#
Responsibilities
Design and scale a modern BI data warehouse/data lake from scratch; Build and maintain robust automated ETL/ELT pipelines from diverse sources; Evaluate and recommend data platforms based on performance and cost metrics; Establish data governance, quality checks, and performance optimization practices; Ensure data freshness, completeness, and SLA compliance; Document processes for autonomous operation by others
Seniority
Senior, hands-on IC with 0-1 build ownership
