Technical Data Lead – Salesforce Data Migration & Azure

NexTurn; King of Prussia (PA); On-site; USD 180,000 - 240,000; Full time

Job summary

NexTurn is seeking an experienced Technical Data Lead to steer enterprise Salesforce data migration, Azure data engineering, and integration initiatives. You will architect migration strategies, mappings, and transformation logic, while leading distributed teams of data engineers and vendors globally.

The role emphasizes hands-on expertise in Salesforce data architecture, org-to-org migrations, and Azure data services, with a focus on data quality, governance, and scalable ETL/ELT pipelines.

Qualifications

• 15+ years of experience in data management, data migration, and data integration.
• 8+ years of hands-on experience in Salesforce data architecture and migration.
• 8+ years of experience with Microsoft Azure data platforms.
• Proven experience leading enterprise-scale migrations involving millions of records and large file repositories.
• Strong experience with Salesforce Sales Cloud, Service Cloud, Data Loader, Bulk API, Metadata API, field mapping, and org-to-org migration.
• Hands-on expertise with Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Blob Storage, Azure Data Lake, Azure Functions, and Logic Apps.
• Strong knowledge of SQL Server, Oracle, SQL, T-SQL, PL/SQL, data modeling, ERDs, and data lineage.
• Experience with Databricks, Kafka, MuleSoft, and integration middleware.
• Expertise in ETL/ELT frameworks, API integrations, data quality, reconciliation, and master data management.
• Programming and automation experience using Python, PowerShell, or shell scripting.
• Proven technical leadership, stakeholder management, and distributed team coordination skills.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Responsibilities

• Lead enterprise-scale Salesforce and Azure data migration programs.
• Drive Salesforce org-to-org migrations, legacy-to-Salesforce migrations, and on-premises database migrations to Azure.
• Define migration architecture, source-to-target mappings, transformation logic, sequencing, cutover plans, rollback strategies, and reconciliation procedures.
• Design Salesforce data models and migration frameworks using Salesforce Data Loader, Bulk API, Metadata API, Data Import Wizard, and third-party tools.
• Architect integrations using Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory (ADF), Azure Blob Storage, Azure Data Lake, Azure Functions, and Logic Apps.
• Lead migration of Salesforce attachments, content documents, SharePoint files, PDFs, images, and other large objects while preserving metadata and data integrity.
• Develop and optimize SQL, T-SQL, and PL/SQL scripts, logical and physical data models, ER diagrams, and data lineage documentation.
• Design scalable ETL/ELT pipelines and oversee data cleansing, deduplication, enrichment, transformation, and validation.
• Establish data quality KPIs, governance controls, reconciliation measures, security standards, and compliance requirements.
• Lead mock migrations, dress rehearsals, production cutovers, and post-migration validation.
• Drive data synchronization, replication, archival, retention, and performance optimization strategies.
• Lead distributed teams of data engineers, architects, developers, analysts, and external vendors.
• Manage technical risks, resolve migration issues, and communicate progress to stakeholders and executive leadership.

Skills

Data management

Data migration

Data integration

Salesforce data architecture

Azure data platforms

ETL/ELT frameworks

Python

PowerShell

Shell scripting

Stakeholder management

Distributed team leadership

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Tools

Salesforce Data Loader

Bulk API

Metadata API

Data Import Wizard

Third‑party tools

Azure SQL Database

Azure SQL Managed Instance

Azure Data Factory

Azure Blob Storage

Azure Data Lake

Azure Functions

Logic Apps

Databricks

Kafka

MuleSoft

Informatica

Talend

Job description

Position Summary

We are seeking a highly experienced Technical Data Lead to lead enterprise-scale Salesforce data migration, Azure data engineering, and integration initiatives. The ideal candidate will have deep hands-on expertise in Salesforce data architecture, Salesforce org-to-org migration, Microsoft Azure data services, database design, ETL/ELT frameworks, and enterprise data transformation.

Key Responsibilities

• Lead enterprise-scale Salesforce and Azure data migration programs.
• Drive Salesforce org-to-org migrations, legacy-to-Salesforce migrations, and on-premises database migrations to Azure.
• Define migration architecture, source-to-target mappings, transformation logic, sequencing, cutover plans, rollback strategies, and reconciliation procedures.
• Design Salesforce data models and migration frameworks using Salesforce Data Loader, Bulk API, Metadata API, Data Import Wizard, and third-party tools.
• Architect integrations using Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory (ADF), Azure Blob Storage, Azure Data Lake, Azure Functions, and Logic Apps.
• Lead migration of Salesforce attachments, content documents, SharePoint files, PDFs, images, and other large objects while preserving metadata and data integrity.
• Develop and optimize SQL, T-SQL, and PL/SQL scripts, logical and physical data models, ER diagrams, and data lineage documentation.
• Design scalable ETL/ELT pipelines and oversee data cleansing, deduplication, enrichment, transformation, and validation.
• Establish data quality KPIs, governance controls, reconciliation measures, security standards, and compliance requirements.
• Lead mock migrations, dress rehearsals, production cutovers, and post-migration validation.
• Drive data synchronization, replication, archival, retention, and performance optimization strategies.
• Lead distributed teams of data engineers, architects, developers, analysts, and external vendors.
• Manage technical risks, resolve migration issues, and communicate progress to stakeholders and executive leadership.

Required Qualifications

• 15+ years of experience in data management, data migration, and data integration.
• 8+ years of hands-on experience in Salesforce data architecture and migration.
• 8+ years of experience with Microsoft Azure data platforms.
• Proven experience leading enterprise-scale migrations involving millions of records and large file repositories.
• Strong experience with Salesforce Sales Cloud, Service Cloud, Data Loader, Bulk API, Metadata API, field mapping, and org-to-org migration.
• Hands-on expertise with Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Blob Storage, Azure Data Lake, Azure Functions, and Logic Apps.
• Strong knowledge of SQL Server, Oracle, SQL, T-SQL, PL/SQL, data modeling, ERDs, and data lineage.
• Experience with Databricks, Kafka, MuleSoft, and integration middleware.
• Expertise in ETL/ELT frameworks, API integrations, data quality, reconciliation, and master data management.
• Programming and automation experience using Python, PowerShell, or shell scripting.
• Proven technical leadership, stakeholder management, and distributed team coordination skills.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred Qualifications

• Salesforce Administrator, Platform App Builder, or Salesforce Data Architect certification.
• Microsoft Azure Data Engineer Associate or Azure Solutions Architect Expert certification.
• Experience with Informatica, Talend, MuleSoft, or similar integration and ETL platforms.
• Experience with customer master data migration and MDM implementations.
• Experience delivering enterprise digital transformation and cloud migration programs.
• Master’s degree in a related field.

Ideal Candidate

The ideal candidate is a strategic, hands‑on technical leader with deep Salesforce migration and Azure expertise who can architect and execute complex enterprise data transformation programs. Candidates must demonstrate direct ownership of migration strategy, data mapping, large-volume data movement, file migration, reconciliation, cutover, and production delivery.