Data Engineer – Revenue Analytics

Data Engineer – Revenue Analytics

Coralogix is seeking a skilled Data Engineer to join our team in Gurugram, Haryana. This full-time, intermediate-level position is crucial for building and maintaining the revenue data layer that powers our GTM (Go-To-Market) stack.

About The Position

Coralogix is a high-growth company transforming data observability. Data quality is paramount to our success, especially for our AI workflows and analytics systems.

This strategic new role will own the revenue data foundation, built on Snowflake. You will be responsible for creating and managing pipelines that ingest data from key GTM sources like Salesforce, Gong, and Marketo into a clean, governed, and queryable format. You will act as the quality gatekeeper, ensuring the reliability of pipelines, stability of schemas, and trustworthiness of data contracts to prevent data-related issues in downstream AI and automation workflows.

What You Will Own

Snowflake Data Foundation

• Design, build, and maintain the Snowflake data warehouse as the single source of truth for GTM analytics and automation.
• Define and enforce schema standards, naming conventions, and data governance policies for revenue data.
• Develop and maintain dbt models (or equivalent) for transforming raw GTM data into analytics-ready tables.
• Monitor pipeline health, proactively identifying and resolving data quality issues.
• Maintain comprehensive data documentation and data dictionaries.

Pipeline Engineering

• Build and maintain data pipelines to ingest data from Salesforce, Gong, Marketo, Intercom, and other GTM platforms into Snowflake.
• Design observable pipeline architectures with robust alerting and failure handling.
• Implement change data capture (CDC) and incremental loading for up-to-date revenue data.
• Collaborate with GTM Engineers to ensure Snowflake data meets the needs of automation workflows.

Analytics Enablement

• Serve as the data contract owner between GTM source systems and analytics/AI layers.
• Support the development of revenue analytics using BI tools like Sigma or Tableau.
• Enable self-serve querying for GTM leaders through well-designed data models.
• Build data models to support forecasting workflows for pipeline and forecast intelligence.

Requirements

• 4-7+ years of experience in data engineering, building production data pipelines and warehouses.
• Strong Snowflake expertise, including schema design, performance optimization, and query patterns.
• Experience with dbt for data transformation and modeling in a production environment.
• Proficiency in SQL and Python (preferred for pipeline development).
• Experience building pipelines from SaaS platforms (e.g., Salesforce, Gong, Marketo) via API or CDC.
• Familiarity with pipeline orchestration tools (e.g., Airflow, Prefect, dbt Cloud, Fivetran).
• Solid understanding of data modeling, normalization, and dimensional modeling.
• Experience designing and implementing data governance standards.
• Familiarity with GTM data (CRM objects, pipeline stages, activity data, revenue metrics) is strongly preferred.
• Experience with BI tools (Sigma, Tableau, Looker) is a plus.
• Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related technical field.

The Non-Negotiables

• Commitment to data quality as a primary engineering concern.
• Ability to design robust data models for multiple downstream systems.
• Strong understanding of GTM data to identify pipeline discrepancies.
• Clear communication of data issues and trade-offs to non-technical stakeholders.

Cultural Fit

We are looking for individuals who are hungry, humble, and smart. Coralogix fosters a culture of innovation, continuous learning, and challenging the status quo. If you thrive in dynamic environments and are eager to shape the future of observability, we encourage you to apply.

Coralogix is an equal-opportunity employer and values diversity.