Data Engineer - GTM & Analytics

Sardine•,

24d•$150,000 - $205,000•Remote

About The Position

Sardine is seeking a Data Engineer to lead the development of its internal data platform. This role involves connecting Go-To-Market (GTM), product analytics, and business data sources into a single, scalable system to drive company-wide decision-making. It's a high-impact, technical position at the intersection of data engineering and analytics engineering, responsible for the core data foundation that supports executive, revenue operations, finance, product, and customer-facing teams. The role also includes ownership of critical backend infrastructure such as billing data, warehouse security, and ETL pipelines from internal and external systems. Data accessibility and consistency are key to Sardine's growth, making this role central to the company's mission.

Requirements

5+ years of experience in data engineering, analytics engineering ideally supporting GTM or business functions.
Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).
Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, BigQuery/Snowflake, Amplitude, Sigma, Clay, and similar tools.
Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).
Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.
Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.
A bias toward action and comfort working in ambiguity. You find answers rather than wait for direction.

Nice To Haves

Exposure to product analytics tools like Segment, Amplitude, or Mixpanel.
Experience in enterprise B2B SaaS or high-growth startup environments.

Responsibilities

Build and own Sardine’s internal data infrastructure, integrating CRM, marketing, product, finance, and operational systems into a cohesive, well-modeled data warehouse.
Own the data warehouse partitioning strategy, access controls, and security architecture in close partnership with the Security and Infrastructure teams to meet compliance and performance requirements.
Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.
Design, implement, and own ETL/ELT pipelines to pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
Partner with data science, engineering, revenue operations, and executive stakeholders to define and track KPIs, ensuring business decisions are grounded in data.
Serve as the connective tissue between Revenue Operations, Business Operations, and Product/Eng, translating complex requirements into elegant data solutions.
Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented.
Build dashboards and analytics that provide key insights for executive leadership, GTM, product, and finance teams.
Analyze data to identify the best ways to deliver value to clients and inform product decisions.

Benefits

Generous compensation in cash and equity
Early exercise for all options, including pre-vested
Work from anywhere: Remote-first Culture
Flexible paid time off and Year-end break
Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
4% matching in 401k / RRSP - US and Canada specific
MacBook Pro delivered to your door
One-time stipend to set up a home office — desk, chair, screen, etc.
Monthly meal stipend
Monthly social meet-up stipend
Annual health and wellness stipend
Annual Learning stipend