Data Manager, Snowflake

Job not on LinkedIn

October 7

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Logo of Allata

Allata

B2B • Consulting • Technology

Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

201 - 500 employees

🤝 B2B

📋 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.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities • Paid time off

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