Senior Finance Analytics Engineer
About this role
Resourceful engineers who enjoy untangling complex financial data systems will find a strong fit scaling the analytics infrastructure at Faire. Operating within the Finance department, the person in the seat builds systems, pipelines, and data models that automate accounting procedures and empower internal decision-making across multiple business units.
Day-to-day work centers on architecting ETL workflows, partnering closely with Accounting and Engineering groups, and exploring Gen-AI productivity solutions to modernize internal operations. The role exists to ensure financial data is accurate, scalable, and easy to interpret, helping the broader organization maintain visibility into business performance while expanding the team's strategic influence.
What you will do
- Design, build, and maintain complex ETL and ELT pipelines that aggregate business performance metrics and financial reporting using engineering best practices.
- Partner with Accounting and Finance teams as a technical advisor to gather requirements and ensure core ledgers accurately reflect business changes.
- Collaborate with Engineering and Data Infrastructure to manage data integrations across Fivetran connectors, S3 pipelines, and other ingestion patterns.
- Implement monitoring, alerting, and testing protocols to guarantee data quality while championing CI/CD workflows within the team.
- Lead initiatives that drive data strategy, roadmap planning, and alignment with overarching business objectives.
- Drive workflow automation and implement Gen-AI-enabled productivity solutions to modernize processes across Finance.
What you need
- Bring at least five years of professional experience working in analytics engineering, business intelligence, data analytics, or comparable functions.
- Demonstrate expertise in SQL for data modeling, large-scale data processing, and tool development for analytics and financial use cases.
- Possess proven experience designing and maintaining production-grade ETL and ELT workflows utilizing tools such as Airflow, Docker, dbt, Snowflake, BigQuery, Redshift, S3, Mode, Tableau, and Looker.
- Maintain working proficiency in Python or a similar language for pipeline development, automation, and tooling.
- Operate comfortably with CI/CD practices, version control via Git, and command-line tooling for workflow automation.
- Exhibit strong communication and collaboration skills to effectively work with technical and business partners.
Nice to have
- Familiarity with Faire's data stack and systems, along with experience in marketplace or transactional business models
- Experience with monitoring and alerting systems designed for data pipelines
- Background in finance, accounting, or supporting finance teams by building the pipelines behind financial reporting
- Experience supporting SOX compliance requirements including controls, audit trails, and change management
- BA or BS degree in computer science, mathematics, or another quantitative field
Benefits
- Competitive pay ranging from $174,500 to $240,000 per year
- Equity eligibility
- Comprehensive benefits designed to support life inside and outside of work
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
Faire employees operate on a hybrid schedule, going into the office three days per week on Tuesdays, Thursdays, and a third flex day of their choosing. Additionally, hybrid in-office roles have the flexibility to work remotely up to four weeks per year.
What is the salary range for the Senior Finance Analytics Engineer role?
The pay range for this role in San Francisco and New York City is $174,500 to $240,000 per year. The role is also eligible for equity and benefits, with actual base pay determined based on factors like transferable skills, work experience, market demands, and primary work location.
Which tools and technologies make up the tech stack for this team?
The stack involves SQL and Python for development, along with analytics workflow tools like Airflow, Docker, and dbt. Data warehousing and ingestion rely on Snowflake, BigQuery, Redshift, S3, and Fivetran, while visualization tools include Mode, Tableau, and Looker.
Which departments does this role collaborate with?
This position sits in the Finance department and collaborates with team members across Accounting, Finance and Strategy, Engineering, and Data Infrastructure.