Sr Snowflake DBT Engineer

Anblicks; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Anblicks in Dallas is seeking a Senior Snowflake & dbt Engineer with 8+ years of data engineering experience to design, develop, and optimize data pipelines and modern data warehouses for enterprise analytics.

Candidates should be proficient with Snowflake, dbt, SQL, ETL/ELT development, and Azure cloud services, delivering scalable architectures and governance while collaborating with analysts, data scientists, and business stakeholders.

Qualifications

• 8+ years of experience in data engineering or analytics engineering.
• Strong expertise in Snowflake, dbt, SQL, and ETL/ELT development.
• Experience with Azure cloud platform and data governance practices.

Responsibilities

• Design, develop, and maintain scalable data solutions using Snowflake and dbt.
• Build and optimize ELT/ETL pipelines from multiple sources.
• Develop modular dbt models, tests, and documentation.
• Implement dimensional data models (Star/Snowflake Schema) for analytics.
• Tune query performance, manage warehouse sizing, and clustering.

Skills

Data engineering

ETL/ELT development

SQL

Analytics engineering

Cloud data warehousing

Data governance

Tools

Snowflake

dbt

Azure

Azure Data Factory

Job description

Job Description

Sr Data Engineer (Snowflake + dbt )

Experience Required

8+ Years

Location

Dallas

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 Responsibilities

• 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