Senior Analytics Architect | dbt/BigQuery

Rocket Money; Oregon; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health plans

Life Insurance

Stock purchasing program

Unlimited PTO

Tuition reimbursement

Daily lunch & snacks

Job summary

Rocket Money is seeking a Senior Analytics Engineer to design scalable dimensional models, own data quality, and partner with analytics and engineering teams to deliver trustworthy data. You’ll translate business questions into rigorous models, manage data quality checks, and reduce dbt technical debt.

You'll work closely with Data Analysts, BI, and product teams to ensure the models support self-service analysis and strategic insights.

Qualifications

• 5+ years in analytics engineering or data engineering roles.
• Deep data modeling with dimensional models, grain, and fact table design.
• Production dbt experience and BI tooling familiarity (Looker).

Responsibilities

• Design and build dimensional models that scale (dbt + BigQuery).
• Translate business questions into dimensions, facts, and grain decisions.
• Balance normalization, performance, and usability; document decisions.
• Reduce technical debt in the dbt project.
• Own data quality and monitoring for the models.
• Define 'correct' data and implement quality checks.
• Lead root-cause investigations on data discrepancies across pipelines.
• Collaborate with Data Engineering and product teams on upstream contracts and instrumentation quality.

Skills

Data modeling

Data quality

Cross-functional collaboration

Stakeholder influence

Education

Bachelor's degree

Tools

dbt Cloud

BigQuery

Looker

Amplitude

DeepNote

Job description

Rocket Money is seeking a Senior Analytics Engineer to design scalable dimensional models, own data quality, and partner with analytics and engineering teams to deliver trustworthy data. You’ll translate business questions into rigorous models, manage data quality checks, and reduce dbt technical debt.

You'll work closely with Data Analysts, BI, and product teams to ensure the models support self-service analysis and strategic insights.