Data Manager, Snowflake
Job Description:
• Define and evolve Snowflake platform architecture, standards, and best practices.
• Translate business goals into a pragmatic technical roadmap and delivery plan.
• Lead and mentor data engineers; establish quality bars, review code, and guide execution.
• Manage delivery using Agile rituals; align priorities across data, analytics/BI, and application teams.
• Design, build, and optimize ELT pipelines on Snowflake with an ELT-first approach (dbt preferred).
• Implement modern data ingestion using tools such as Fivetran, ADF, Glue, or Matillion.
• Set up orchestration and CI/CD for data using Airflow or Dagster and Git-based pipelines.
• Ensure data quality, observability, monitoring, alerting, documentation, and runbooks.
• Apply performance tuning and cost optimization in Snowflake, including query profiling and warehouse sizing.
• Implement security and governance in Snowflake (RBAC, masking, row access policies, auditing, data sharing).
• Facilitate discovery with stakeholders, clarify requirements, and communicate trade-offs and recommendations.
Requirements:
• Deep hands-on Snowflake experience: warehouses, databases/schemas, stages, file formats, external tables, Snowpipe, Streams and Tasks, Time Travel/Fail-safe, query performance, micro-partitions, clustering, and cost management.
• Strong SQL and Python for data engineering use cases.
• ELT-first development with dbt or an equivalent modeling/testing/documentation framework.
• Experience with modern ingestion and orchestration (Fivetran, ADF, Glue, Matillion, Airflow, or Dagster).
• Cloud experience (AWS preferred; Azure or GCP considered), including storage, IAM, networking basics, and secrets management.
• CI/CD for data with Git-based workflows and environment promotion.
• Familiarity with Infrastructure as Code (e.g., Terraform Snowflake provider).
• Solid understanding of dimensional modeling and data quality practices.
• Proven leadership with coaching, feedback, objective setting, and conflict resolution.
• Excellent stakeholder communication; able to facilitate discovery and manage expectations.
• Ownership mindset with proactive risk identification, prioritization, and mitigation.
• Structured problem-solving; comfortable with ambiguity and change.
Benefits:
• Health insurance
• Professional development opportunities
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• Define and evolve Snowflake platform architecture, standards, and best practices.
• Translate business goals into a pragmatic technical roadmap and delivery plan.
• Lead and mentor data engineers; establish quality bars, review code, and guide execution.
• Manage delivery using Agile rituals; align priorities across data, analytics/BI, and application teams.
• Design, build, and optimize ELT pipelines on Snowflake with an ELT-first approach (dbt preferred).
• Implement modern data ingestion using tools such as Fivetran, ADF, Glue, or Matillion.
• Set up orchestration and CI/CD for data using Airflow or Dagster and Git-based pipelines.
• Ensure data quality, observability, monitoring, alerting, documentation, and runbooks.
• Apply performance tuning and cost optimization in Snowflake, including query profiling and warehouse sizing.
• Implement security and governance in Snowflake (RBAC, masking, row access policies, auditing, data sharing).
• Facilitate discovery with stakeholders, clarify requirements, and communicate trade-offs and recommendations.
Requirements:
• Deep hands-on Snowflake experience: warehouses, databases/schemas, stages, file formats, external tables, Snowpipe, Streams and Tasks, Time Travel/Fail-safe, query performance, micro-partitions, clustering, and cost management.
• Strong SQL and Python for data engineering use cases.
• ELT-first development with dbt or an equivalent modeling/testing/documentation framework.
• Experience with modern ingestion and orchestration (Fivetran, ADF, Glue, Matillion, Airflow, or Dagster).
• Cloud experience (AWS preferred; Azure or GCP considered), including storage, IAM, networking basics, and secrets management.
• CI/CD for data with Git-based workflows and environment promotion.
• Familiarity with Infrastructure as Code (e.g., Terraform Snowflake provider).
• Solid understanding of dimensional modeling and data quality practices.
• Proven leadership with coaching, feedback, objective setting, and conflict resolution.
• Excellent stakeholder communication; able to facilitate discovery and manage expectations.
• Ownership mindset with proactive risk identification, prioritization, and mitigation.
• Structured problem-solving; comfortable with ambiguity and change.
Benefits:
• Health insurance
• Professional development opportunities
Apply tot his job
Apply To this Job