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SoftServe
Open role>14 days

Senior Data Engineer (Snowflake + GCP)

SoftServeColombia; Chile
Work model
Hybrid
Experience
5+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
12 tags

Technology context

12

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSPythonGCPCloudReliability EngineeringdbtScalabilitySnowflakeSQLAirflowSalesforce

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Role description

About the Role

In this role, you will contribute to the data platform powering a client's Go-To-Market (GTM) revenue operations, supporting areas such as lead routing, advertiser identity, campaign segmentation, and sales tooling. You will build scalable data pipelines and reliable data assets across Snowflake, GCP, and Salesforce while partnering with engineering, product, and business teams.

Responsibilities

  • Build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce Data Cloud to support GTM operations
  • Own the development and maintenance of reliable ETL/ELT workflows, ensuring data availability, quality, and efficient processing
  • Collaborate with engineers, Product Managers, and business stakeholders to translate GTM requirements into practical data solutions
  • Model and maintain data assets covering advertiser identity, lead enrichment, revenue, customer, and CRM data
  • Develop and optimize SQL queries for data transformation, reporting, analytics, and downstream consumption
  • Implement data quality controls, validation processes, and schema consistency across GTM data marts
  • Support ongoing platform enhancements, troubleshooting, and optimization to improve reliability and performance

Requirements

  • Strong experience with SQL and Snowflake for data transformation, modeling, and analytics
  • Advanced proficiency in Python for data processing and transformation workflows
  • Hands-on experience building ETL/ELT pipelines using dbt, Airflow, or similar data engineering tools
  • Practical experience with GCP or AWS data platforms and cloud-based data engineering solutions
  • Solid understanding of CRM data models, including leads, contacts, accounts, and opportunities
  • Exposure to Salesforce SOQL, Salesforce Data Cloud, or Salesforce data models (as a plus)
  • Familiarity with data enrichment platforms such as ZoomInfo, Dun & Bradstreet (D&B), or similar solutions (as an advantage)