Senior Data Engineer

Trivosys Technologies LLC is hiring a Senior Data Engineer to deliver enterprise data integration and migration solutions with a focus on Azure, Azure Data Factory, Snowflake, and Salesforce. This role requires hands-on experience implementing Snowflake-to-Salesforce data migration end to end, along with pipeline development, transformation, and migration validation.

Role Overview

In this position, you will design and implement scalable data pipelines, develop ETL/ELT processes, and lead the migration of data from Snowflake to Salesforce. You will ensure data accuracy and integrity across the migration lifecycle by performing extraction, transformation, mapping, cleansing, validation, and reconciliation. You will also integrate Salesforce data architecture with existing enterprise systems and collaborate with stakeholders and engineering teams to deliver successful outcomes.

Key Responsibilities

• Design, develop, and implement scalable data pipelines using Azure Data Factory and Snowflake.
• Lead end-to-end data migration initiatives from Snowflake to Salesforce.
• Build and maintain robust data integration workflows between enterprise data platforms and Salesforce.
• Perform data extraction, transformation, mapping, cleansing, validation, and reconciliation.
• Develop optimized SQL queries and ETL/ELT processes to support large-scale data movement.
• Integrate Salesforce data architecture with existing enterprise data systems.
• Ensure data accuracy, consistency, completeness, and integrity throughout the migration lifecycle.
• Identify and resolve data quality issues, pipeline failures, and migration-related challenges.
• Implement error handling, logging, monitoring, and recovery mechanisms for data pipelines.
• Follow enterprise data governance, security, and compliance standards.
• Collaborate with business stakeholders, Salesforce teams, architects, and other engineering teams to deliver migration solutions.
• Document technical designs, data mappings, migration procedures, and validation results.

Required Qualifications

• 12–15 years of overall experience in data engineering.
• Strong hands-on experience with Microsoft Azure.
• Extensive experience developing and managing Azure Data Factory pipelines.
• Strong expertise in Snowflake architecture, SQL, and data processing.
• Hands-on experience with Salesforce (SFDC) data architecture and integration.
• Proven, hands-on experience migrating data from Snowflake to Salesforce.
• Strong knowledge of ETL/ELT processes, data mapping, transformation, and reconciliation.
• Experience designing scalable data pipelines and enterprise data integration frameworks.
• Strong troubleshooting and analytical skills.
• Understanding of enterprise data architecture, data quality, and data governance.

Mandatory Technical Requirement

Candidates must have direct experience implementing Snowflake-to-Salesforce data migration solutions. Candidates whose experience is limited to general data engineering, business intelligence, reporting, or analytics, without significant Snowflake-to-Salesforce migration experience, will not be considered a match.

Technologies

• Microsoft Azure
• Azure Data Factory (ADF)
• Snowflake
• Salesforce (SFDC)
• SQL
• ETL
• ELT

Compensation, Location, and Schedule

• Salary: USD 90,000 - 105,000 per year
• Location: Wilmington, DE (onsite)
• Work Location: In person
• Relocation: Ability to relocate before starting work is required

How to Apply

Interested candidates should submit an updated resume highlighting relevant experience with Azure Data Factory, Snowflake, Salesforce, and completed Snowflake-to-Salesforce data migration projects.