Sr. Analytics Engineer

About the Role Backblaze is building its data function into a governed, product-oriented capability that delivers trusted, auditable, and actionable data across the company.

The Data Platform & Insights team operates in three layers: Data Engineering makes data reliable (ingestion, pipelines, Snowflake architecture, raw and staging layers), Analytics Engineering makes data trustworthy and reusable (dbt models, the semantic layer, certified metric definitions, lineage, and the data products themselves), and Business Intelligence makes data useful (dashboards, ad hoc analysis, and stakeholder reporting).

This role sits in the middle layer. You will own the shared, reusable transformation and metric logic that everything else depends on. This is not a pipeline or ingestion role, and it is not a dashboard-building role.

It is the role that turns landed source data into governed, certified, single-source-of-truth models that the rest of the business consumes. As an early member of the Analytics Engineering function, you will help define how data products are built and shipped at Backblaze .

You will design the dbt models and semantic layer that produce our certified business and financial metrics, eliminate the duplicated and conflicting logic that lives across our reporting tools today, and establish the engineering standards that make our data trustworthy at scale.

Because Backblaze is a public company, the models you build directly support financial reporting, so accuracy, lineage, and reconciliation with Finance are core to the work.

This is a high-autonomy, high-leverage role for someone who wants to build a modern analytics foundation from the ground up, not maintain a finished one.

What You’ll Do Own the transformation layer Design, build, and maintain dbt models from staging through marts, applying software engineering best practices: version control, code review, testing, CI/CD, and documentation Establish and enforce modeling standards, naming conventions, and