LevelUp is a specialized BPO company that partners with technology companies across the US, UK, Europe, and Canada to provide tailored outsourcing solutions. For over seven years, we’ve built a reputation for delivering high-quality operational and back-office support, helping our clients scale efficiently. Our team consists of highly skilled and passionate professionals who are dedicated to providing exceptional service, technical expertise, and seamless support to our clients.

Position Overview

The GTM Tools Data Infrastructure Engineer plays a critical role in keeping sales, marketing and customer-facing teams supplied with clean, reliable and timely data. You will design, build and maintain data pipelines that move information from GTM platforms (CRM, marketing automation, subscription billing, support) into the company’s cloud data warehouse and BI layer. Your work will underpin dashboards, forecasting models and analytics that drive revenue decisions.

Key Responsibilities

Architect, develop and maintain scalable batch and streaming pipelines that ingest data from GTM systems (for example Salesforce, HubSpot, Marketo, Zendesk) into platforms such as Snowflake, Redshift or BigQuery.
Own RevOps data tables: create schema, write performant SQL, monitor usage and tune queries for speed and cost efficiency.
Build and manage REST and GraphQL API integrations to bring in third-party or internal data sources that enrich revenue analytics.
Develop and schedule automation scripts to validate, transform and load data while applying data quality rules.
Partner with Revenue Operations, Finance and Product Analytics teams to understand reporting needs and translate them into robust datasets and dataflows.
Maintain documentation for data models, pipelines and integration points; promote data literacy across GTM stakeholders.
Troubleshoot pipeline failures and data discrepancies, coordinating with DevOps or external vendors when deeper infrastructure issues arise.
Continuously evaluate manual data collection processes and propose automation or tooling improvements to increase accuracy and reduce effort.

Qualifications

5+ years in data engineering or analytics engineering, ideally supporting GTM or Revenue Operations functions.
Advanced SQL proficiency, including query optimization and performance tuning in large-scale data warehouses.
Hands-on experience building ETL/ELT workflows with tools like Alteryx, Fivetran, dbt, Airflow or similar orchestration frameworks.
Proven track record of developing API integrations (REST, SOAP, GraphQL) and handling authentication, rate limiting and error recovery.
Familiarity with BI and visualization platforms such as Power BI, Tableau or Looker; ability to structure tables for self-service analytics.
Strong understanding of data modeling concepts (star/snowflake schemas, slowly changing dimensions, CDC).
Excellent problem-solving ability and attention to detail when dealing with complex data sets and ambiguous requirements.
Clear communication skills for explaining technical topics to non-technical stakeholders.
Ability to manage multiple priorities, deliver to deadlines and thrive in a fast-paced, data-driven culture.
Prior exposure to revenue operations metrics (pipeline, bookings, ARR, churn) and SaaS business models

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