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Remote mid-level BI role with broad appeal but specialized dbt/Redshift skills moderates applicant density.
Salesforce RevOps, dbt modeling, and Redshift expertise favor domain-specific backgrounds.
Explicit 6+ years requirement and mandatory dbt, Redshift, Dagster, SQL, Python make shortlisting strict.
Lead migration of legacy analytics workflows to dbt models on Redshift with clear documentation and testing.
Own orchestration, monitoring, and alerting pipelines using Dagster or Airflow, ensuring data foundation reliability.
Develop data models and infrastructure that support Revenue Operations initiatives like account-based marketing, customer health scoring, and predictive analytics.
6-8+ years in Analytics Engineering, Data Engineering, or Business Intelligence with hands-on modeling responsibility.
Proven experience with production-grade dbt projects including testing and documentation.
Strong skills in SQL and Amazon Redshift (or Snowflake/BigQuery) with performance tuning.
Hands-on experience with Dagster or Airflow; proficiency in Python for data automation; strong knowledge of Salesforce data model.
Experienced in building and maintaining complex, production-level data models and ELT pipelines within a governed analytics environment.
Strong cross-functional communication skills to translate between business stakeholders and technical teams, ensuring practical and accurate data outputs.
Proactive owner who prioritizes code quality, documentation, and impact-driven data solutions over just delivering metrics.