Senior Snowflake Developer(Snowflake + dbt )

Hybrid in Dallas, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract Corp To Corp
12 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • snowflake
  • DBT
  • SQL
  • ETL/ELT
  • Cloud Data Warehousing

Summary

Job Description: Senior Snowflake Developer(Snowflake + dbt )

Location: Dallas, TX

Experience Required: 10+ Years

Job Summary

We are seeking an experienced Senior Snowflake & dbt Engineer with 8+ years of experience in Data Engineering, Cloud Data Warehousing, and Analytics Engineering. The ideal candidate will have strong expertise in Snowflake, dbt (Data Build Tool), SQL, ETL/ELT development, and Azure cloud platform. The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and modern data warehouse solutions to support enterprise analytics and reporting initiatives.

Key Responsibilitie:

  • Design, develop, and maintain scalable data solutions using Snowflake and dbt.
  • Build and optimize ELT/ETL pipelines to ingest, transform, and load large-scale data from multiple sources.
  • Develop reusable and modular dbt models, macros, tests, snapshots, and documentation.
  • Implement dimensional data models including Star Schema and Snowflake Schema for reporting and analytics.
  • Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse sizing.
  • Design and implement data quality frameworks, monitoring, and automated validations using dbt.
  • Collaborate with Data Analysts, Data Scientists, Business Stakeholders, and Product teams to understand requirements and deliver data solutions.
  • Develop CI/CD pipelines for dbt deployments and automate data workflows.
  • Ensure data governance, security, compliance, and best practices within Snowflake environments.
  • Troubleshoot data issues, perform root cause analysis, and implement preventive solutions.
  • Create technical documentation, architecture diagrams, and data lineage documentation.
  • Mentor junior data engineers and establish engineering standards and best practices.
  • Experience with orchestration tools such as: Azure Data Factory (ADF)
  • Understanding of data governance, security, metadata management, and data lineage.
  • Experience handling structured and semi-structured data (JSON, XML, Parquet, Avro).

Nice To Have: Knowledge in HRMS or Finance data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10126072
  • Position Id: 9076495
  • Posted 3 hours ago
Contact the job poster
Mujtaba Mohammed

Mujtaba Mohammed

Recruiter @ Anblicks
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