Senior Data Engineer – GTM Data Engineer

Role Overview

This role sits at the intersection of data engineering, business intelligence, data science, and data governance, and is ideal for someone who enjoys solving a business problem from raw datasets to endpoint to business-ready metric.

What You Will Do

Design, build, and maintain end-to-end data solutions — from raw data ingestion through to curated metrics that power advanced analytics, business intelligence dashboards and business decision-making.

Why It Might Be a Fit

We are looking for a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms.

Requirements

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms.
• Develop, document, and maintain curated business-ready metrics to expose data and metrics to internal advanced analytics AI/ML models, dashboards, and variety of consumers.
• Design and manage a curated data layer that translates raw data into consistent, business-friendly metrics and definitions.
• Design, build and manage business friendly dashboards that provide valuable business insights to the executive leadership
• Implement and maintain a data catalog / knowledge catalog (e.g., Google Data Catalog) to improve data discoverability, lineage tracking, and metadata management.
• Optimize BigQuery performance through partitioning, clustering, query tuning, and cost-management best practices.
• Build data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness.
• Collaborate with cross-functional teams (analytics, product, business) to gather requirements and translate them into scalable data models, metrics
• Enforce data governance, security, and access control standards (PII handling, role-based access, encryption).
• Write clean, well-tested, and maintainable code (Python/SQL, and backend frameworks for API based ingestion routines).
• Create and maintain CI/CD pipelines for seamless deployments and change reviews across the code base.
• Participate in code reviews, architecture discussions, and CI/CD pipeline development for data and application deployments.

Tagged as: BigQuery, Pipeline Management, Python, SQL