Senior Data Engineer: Snowflake/dbt & AI-Ready Data

Hirebridge; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible Time-Off

Health, dental and vision benefits

401(k) with employer match

Mentoring Programs

Training and Development programs

Tuition Reimbursement

Job summary

Sovos is building a world-class financial data platform in the United States, and the Senior Data Engineer will own the full data pipeline stack from ingestion to finance-ready outputs used by FP&A and leadership. You will design Snowflake architecture and dbt models that underpin the US topline data chain, and fix issues before close.

You will collaborate with finance and business teams, ensure data accuracy across Billing, ARR, and Rev Rec, and participate in AI data framework discussions.

Qualifications

• 5–8 years of data engineering experience building and maintaining production pipelines and dbt projects at scale.
• Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries.
• Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers.
• Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security – not just querying, but owning the environment.
• Experience supporting financial close cycles, including on-call ownership of pipeline failures; understands what WD1 means and why it matters.
• Fluency in the revenue data chain (Billing → ARR → Deferred Revenue → Rev Rec → Close Pack) with the ability to engage finance stakeholders directly on data discrepancies.
• Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs.
• Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads.
• Preferred: Python for pipeline scripting and orchestration
• Preferred: Cloud infrastructure experience: Azure (App Service, Azure AD, Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals
• Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data
• Preferred: Background in B2B SaaS metrics: ARR, GRR, NRR, churn, and deferred revenue
• Preferred: Familiarity with data governance practices: PII handling, access control, and GDPR basics
• Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience
• Nice to Have: MLOps or ML pipeline experience
• Nice to Have: Domain knowledge in compliance, tax technology, or e-invoicing
• Due to client contractual obligations, the successful candidate will be asked to clear a background check and drug test upon hire

Responsibilities

• Own the data pipeline stack from ingestion through transformation to close-ready outputs
• Design and build Snowflake architecture and dbt models that power US topline data
• Engage finance stakeholders to resolve data discrepancies and ensure data integrity
• Support CRM/ERP integration and ELT patterns, including API pagination and incremental loads
• Assist in shaping how AI consumers interact with structured financial data

Skills

Advanced SQL

Production dbt

Snowflake

Python

Communication skills

On-call ownership

Data governance

ELT patterns

Tools

dbt

Snowflake

Azure

AWS

CI/CD

Job description

Sovos is building a world-class financial data platform in the United States, and the Senior Data Engineer will own the full data pipeline stack from ingestion to finance-ready outputs used by FP&A and leadership. You will design Snowflake architecture and dbt models that underpin the US topline data chain, and fix issues before close.

You will collaborate with finance and business teams, ensure data accuracy across Billing, ARR, and Rev Rec, and participate in AI data framework discussions.