Integration Engineering

Integrations are the foundation of Drivetrain. The faster and more reliably we can pull a customer's data in and the cleaner that data lands in our models, the faster the customer gets value.

As an Integration Engineer, you will own the lifecycle of customer integrations end-to-end:

• From the kickoff call where a customer first explains their stack, through configuration, data validation, edge-case troubleshooting, and go-live.
• be an equal parts engineer, data detective, and trusted advisor.

This is not a back-office role. Customers will hear from you directly, and a meaningful share of your week will be spent on calls walking finance and IT teams through how we connect to their NetSuite, Salesforce, Workday, Snowflake, or homegrown data warehouse.

Most of our customers are based in North America, so you must be comfortable working hours that overlap substantially with US Eastern Time.

Own customer integrations end-to-end. Lead onboarding calls, scope the integration landscape (which systems, which entities, how often), configure connectors, validate the data, and hand off cleanly to the customer's CSM and the implementation team.

• Work with our integrations platform to set up native connectors (NetSuite, Salesforce, HubSpot, QuickBooks, Xero, SAP ECC / S/4HANA, Workday, Snowflake, BigQuery, Redshift, Google Sheets, Excel, and many more) and contribute to building new ones when a customer needs a system we don't yet support.
• Diagnose and resolve data issues. Collaborate with the Solution Consultant on the project to trace mismatches between source systems and Drivetrain, understand the customer's chart of accounts and entity structures, and explain in plain language what's happening and how we'll fix it.
• Customer-facing setup guides, internal runbooks, and connector reference docs. If a question comes up twice, it should be documented by the third time.
• Be the customer's technical advocate inside Drivetrain. Translate recurring customer pain into product and connector roadmap input. Work closely with the product, engineering, and customer success teams.
• Proactively flagging impact to customers is part of the job.

ERP: NetSuite, SAP ECC, SAP S/4HANA / RISE, Microsoft Dynamics 365, Oracle Fusion, Sage Intacct

• CRM: Salesforce, HubSpot, Pipedrive
• HRIS & Payroll: Workday, BambooHR, ADP, Rippling
• Billing & Subscription: Data Warehouses: Snowflake, BigQuery, Redshift, Databricks
• Spreadsheets & Files: Google Sheets, Excel, CSV, SFTP
• Drivetrain's connector platform, Python-based ETL utilities, internal admin tooling

4+ years of experience in an integration engineering, data engineering, solutions engineering, or implementation engineering role; ideally for a SaaS product that touches financial or operational data.

• Strong SQL skills. Working proficiency in Python (or a comparable scripting language) for building connectors, transforming data, and writing one-off utilities.
• Comfort with data modeling concepts like primary keys, joins, slowly changing dimensions, deduplication, time zones, currency conversion, and chart-of-accounts hierarchies.
• Debugging skills across the stack: reading logs, isolating problems in the source API, the connector, the transformation layer, or the destination model.

Fluency in English; both written and spoken, with neutral or near-neutral accent comprehensibility on live customer calls.

• Active listening skills to catch important details from customers.
• Bonus Points
• Prior experience at a finance, analytics, or data integration company (Fivetran, Workato, Airbyte, Mulesoft, Stitch, dbt Labs, etc.).
• Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.

Remote-friendly: We provide an environment to explore new ideas, take risks, make mistakes, and learn.

~Customer-centric: We follow a product-led growth strategy, continuously learning from our customers.