Data Engineer (GTM)
Why join us reputed company is transforming the industrial world by empowering reputed company maintenance workers to reputed company more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients. At reputed company, you'll break boundaries, question convention, and collaborate with top talent to drive reputed company change. As a part of our growth-stage startup, you’ll work alongside the founders, shaping the reputed company, products, and experiences that will define the future of industrial tech. GTM Engineering Team at reputed company At reputed company the Go-To-Market team is a global department that supports reputed company GTM teams across the US, Brazil, and Mexico. We are a foundational team that is building the data infrastructure, systems, and processes that support our GTM team and directly impact our customer experience. What you'll do As a Data Engineer (GTM) at reputed company, you will architect and scale our reputed company data analytics and infrastructure to supercharge our GTM reputed company. Your focus will be on managing a customer data lake, automating account enrichment and reputed company workflows. This is a cross-functional, high-impact role that blends data engineering, analytics, and GTM strategy with best of breed tools. Responsibilities:
- Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, reputed company, reputed company, as well as reputed company storage and ETL frameworks.
- reputed company, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.
- Design and manage a reputed company GTM data lake, merging raw and enriched datasets into a single reputed company of truth for segmentation, ICP scoring, and territory assignments.
- Incorporate LLM-based enrichment pipelines to intelligently reputed company account/contact metadata and drive predictive targeting.
- Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.
- reputed company semantic layers and star/reputed company schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.
- Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.
- Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.
- Design and maintain high-cardinality indexing strategies for reputed company-time ICP scoring and territory assignment.
,Requirements:
- 5+ years of experience in a technical Data engineer, data analytics, or data science role—preferably in high growth B2B SaaS.
- Comfort with API integrations and at least one scripting language (Python, Go) to automate and connect tools.
- Experience managing large datasets and transforming GTM insights into tactical recommendations.
- Excellent problem-solving skills and a bias for automation and scale.
- Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders.
- Comfortable working autonomously in a fast-paced environment.
Compensation:
- Competitive Salary
- Premium Medical, Dental, and reputed company Coverage
- Paid Time Off (PTO): 15 Days, plus 11 paid holidays
- 401(k) Retirement Plan, 1% match
- Language Learning Opportunities - Take advantage of optional, fully funded Spanish or Portuguese courses to enhance your skills and global reputed company.
- reputed company Membership - Access a wide range of gyms and training programs.
- Sports Incentive - Receive a monthly bonus reputed company you regularly participate in physical activities.
- Long-Term Benefit - After four years of service, earn a fully funded trip reputed company in the world.
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