Senior Data Engineer — Data Platform & Analytics

Granum; Atlanta (GA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

401(k) matching

HSA/FSA options

Unlimited Paid Time Off

Job summary

Granum is seeking a Senior Data Engineer to treat data as a product, building trusted data products and durable platform workflows powering analytics, AI, and decisions across the company.

You will design scalable pipelines with Snowflake, dbt, Fivetran, and Terraform, improve data quality, and ensure governance across datasets. Collaboration with product, engineering, and business teams is essential to turn data needs into reliable platform capabilities.

Qualifications

• Strong experience building and operating data platforms in Snowflake-centric environments.
• Strong experience with dbt or a comparable transformation framework.
• Hands-on experience with Terraform or similar infrastructure-as-code tooling to manage platform infrastructure, permissions, and operational controls.
• Hands-on experience with a governed semantic or BI modeling layer (Omni, LookML, dbt Semantic Layer, or similar).
• Experience designing reliable workflows for ingestion, transformation, validation, and scheduled operational processes, including CI/CD in GitHub.
• Strong SQL skills and a track record of building trusted datasets for business and technical consumers.
• Demonstrated ownership of production-grade data systems, including monitoring, troubleshooting, and incident follow-through.
• Ability to communicate clearly, drive decisions, and take ambiguous work through to a complete outcome.
• Willingness and ability to work within a team where agentic development is an expected part of how engineering work gets done.

Responsibilities

• Build and maintain trusted internal data products that support analytics, AI, and operational workflows across Granum.
• Design and operate scalable data pipelines and platform workflows using Snowflake, dbt, Fivetran, Terraform, and related tooling.
• Improve data quality, validation, observability, and recoverability across critical datasets and workflows.
• Own semantic consistency across upstream models, downstream consumption layers, and governed business definitions.
• Design and implement governance controls including permissions, masking, privacy‑aware access patterns, and durable operational guardrails.
• Partner with product, engineering, and business stakeholders to turn ambiguous data needs into reliable internal platform capabilities.
• Drive platform improvements proactively, including better automation, cleaner workflow design, and stronger operating patterns across the team.
• Contribute technical direction for internal data platform work and help raise the quality bar for how the team builds and operates data systems.

Skills

Snowflake-centric data platforms

dbt

SQL

Data governance

Communication

Ownership of data systems

CI/CD (GitHub)

Team collaboration

Agentic development

Tools

Snowflake

dbt

Fivetran

Terraform

Omni

LookML

GitHub

Job description

Granum is seeking a Senior Data Engineer to treat data as a product, building trusted data products and durable platform workflows powering analytics, AI, and decisions across the company.

You will design scalable pipelines with Snowflake, dbt, Fivetran, and Terraform, improve data quality, and ensure governance across datasets. Collaboration with product, engineering, and business teams is essential to turn data needs into reliable platform capabilities.