Snowflake Data Engineer - Cloud Data Platform Leader

Xebia Group

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Xebia is seeking a Snowflake Data Engineer to build and manage a modern cloud data platform across ingestion, transformation, and delivery layers. The role combines Snowflake engineering, Fivetran ingestion, and dbt analytics to modernize legacy SQL Server/SSIS/SSAS workloads into a scalable platform with automation, validation, lineage, and reporting readiness.

The candidate will lead data storage design, transformation patterns, and performance optimization in Snowflake, ensuring support for

Qualifications

  • Strong hands-on experience implementing Snowflake in enterprise environments.
  • Deep knowledge of SQL, query optimization, performance tuning, and warehouse design.
  • Experience migrating from legacy EDW platforms such as SQL Server, SSIS, and SSAS.
  • Exp. with dbt, Fivetran, AWS, and Sigma BI/reporting integrations.
  • Hands-on experience with Fivetran or comparable cloud ingestion tools.
  • Strong AWS fundamentals: S3, IAM, KMS, VPC, PrivateLink for Snowflake connectivity.
  • Strong understanding of source-to-target mapping, CDC concepts, and incremental loading.
  • Experience working with Snowflake and cloud-based data platforms.
  • Ability to write SQL for data validation and reconciliation between source and Bronze landing tables.

Responsibilities

  • Design, configure, and maintain the Snowflake platform across development, test, and production.
  • Implement and manage cloud-based ingestion using Fivetran for diverse source systems.
  • Build and optimize data architecture across raw, staging, curated, and reporting layers.
  • Develop and maintain dbt models replacing legacy ETL logic for curated data assets.
  • Translate legacy ETL patterns into modern Snowflake/dbt implementations.

Skills

Snowflake
SQL
dbt
Fivetran
AWS
Sigma BI
Data Warehouse
ETL

Tools

Snowflake
dbt
Fivetran
Sigma
AWS

Job description

Xebia is seeking a Snowflake Data Engineer to build and manage a modern cloud data platform across ingestion, transformation, and delivery layers. The role combines Snowflake engineering, Fivetran ingestion, and dbt analytics to modernize legacy SQL Server/SSIS/SSAS workloads into a scalable platform with automation, validation, lineage, and reporting readiness.

The candidate will lead data storage design, transformation patterns, and performance optimization in Snowflake, ensuring support for

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