Senior Data Engineer

SUMMARY

Avetta's SaaS platform connects the world's leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning across a wide range of industries.

The Senior Data Engineer is an independent contributor role that will lead the design and delivery of certified data products that power enterprise analytics. This position involves owning the architecture of scalable data models in Snowflake, leading data transformation in dbt, and serving as the product owner for the Finance Data Roadmap, delivering trusted insights for revenue forecasting, churn analytics, and executive KPIs. If you reside within 30 miles of an Avetta office (Lehi, UT or Tustin, CA or Houston, TX or Dallas, TX) you will be expected to follow a hybrid work schedule.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Data Modeling & Architecture

Design and maintain scalable data models using dbt and Snowflake, aligned to enterprise standards (staging intermediate facts/dims).

Define and enforce best practices for semantic modeling, naming conventions, testing, and reusability of certified data assets.

Deliver performant and trusted certified data products used across enterprise BI tools like Power BI.

Product Ownership: Finance Analytics

Serve as Product Owner for the Finance analytics roadmap-owning the backlog and prioritizing data development that enables key use cases (forecasting, margin trends, ARR/churn analytics).

Partner with Finance, Revenue Operations, and business stakeholders to align on metrics, iterate on requirements, and ensure consistent metric definitions across use cases.

Innovation & Prototyping

Collaborate with internal customers to prototype new ideas and data products, turning conceptual use cases into technical proofs-of-concept.

Experiment with emerging technologies (e.g., AI-powered insights, automated data classification, predictive BI features) to expand the impact of the data platform.

Identify opportunities to integrate modern capabilities into certified data workflows and communicate value back to business and technical stakeholders.

Documentation & Enablement

Partner with the Data Governance Lead to ensure all certified data models are documented with business definitions, transformation logic, and usage guidelines.

Contribute to the development of a centralized data catalog, and lead communications around model releases, data updates, and enablement resources.

Promote self-service analytics by ensuring that certified data products are discoverable, well-documented, and supported by shared standards.

Release Management & Quality Assurance

Implement and manage CI/CD processes for dbt code and model deployments (including versioning, test coverage, and rollback plans).

Lead reviews of internal and third-party dbt projects, ensuring adherence to modeling, performance, and data governance standards.

Continuously monitor production data assets for reliability, accuracy, and usage trends; implement refinements based on feedback and results.

Technical Leadership & Collaboration

Influence and guide a community of analysts, engineers, and BI developers in adopting best practices for data modeling and analytics engineering.

Lead architectural design reviews and model workshops, and provide technical mentoring on dbt, Snowflake, and semantic modeling principles.

Coordinate and align 3rd-party implementation teams to the organization's standards and priorities.

IDEAL EXPERIENCE:

8+ years of experience in data engineering, analytics architecture, or BI product development.

Deep expertise in dbt, Snowflake, and SQL, with a track record of delivering scalable dimensional data models.

Experience leading end-to-end delivery of certified data products for consumption in Power BI or similar tools.

Strong product ownership skills with experience managing analytics roadmaps, prioritizing requirements, and working directly with business partners.

Strong communicator with the ability to collaborate cross-functionally, align stakeholders, and present complex concepts in business terms.

Familiarity with financial KPIs, subscription revenue models, and forecasting or retention analytics.

PREFERRED QUALIFICATIONS:

Experience with AI/ML in the context of analytics (e.g., predictive modeling, LLMs for insights, anomaly detection).

Prior experience working in or supporting Finance, RevOps, or SaaS metrics domains.

Experience with GitHub, dbt Cloud, Power BI Service, and orchestration tools (Airflow, Prefect, or equivalent).

Certifications: dbt Certified Developer, Snowflake

IDEAL EDUCATION & TRAINING :

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

Relevant certifications and continuous learning in data engineering, analytics, and related fields.

At Avetta, we are committed to salary transparency to ensure equitable hiring practices and promote trust. The salary range included in this job posting is based on internal and market data and the role's responsibilities. The final compensation offered to a candidate will be determined by several factors, including work location, job-related skills, experience, and relevant education or training.

The salary range for this position is $126,000 - $163,000 per year, with a potential bonus.

We also offer a comprehensive benefits package, which includes health, dental and vision insurance, 401(k), and PTO.

Avetta is an equal opportunity employer and values diversity. We encourage individuals from all backgrounds and experiences to apply.

To apply for the Senior Data Engineer position, please submit your online application by August 30, 2025.
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