SAP Data Lead

Job Title

Data Modeling: Designing and implementing efficient data models within Salesforce, considering scalability, data quality, and integration requirements.

Integration: Planning and executing integrations between Salesforce and other systems, using APIs and other technologies.

Data Quality and Governance: Establishing and enforcing data quality standards and participating in data governance initiatives.

Technical Leadership: Providing technical guidance and mentorship to development and integration teams.

Data Migration and Transformation: Leading data migration, transformation, and integration processes, especially for specific data sets like patient master data.

Collaboration: Working closely with stakeholders, solution architects, and cross-functional teams.

Problem Solving: Troubleshooting and resolving data-related issues.

Staying Current: Keeping up-to-date with Salesforce updates and best practices.

Specific Skills and Knowledge: Salesforce: Strong understanding of the Salesforce platform, including its features and functionalities.

Data Management: Expertise in data modeling, data quality, and data governance.

Integration: Experience with data integration technologies and architectures.

Data Engineering: Knowledge of data engineering principles, including data migration and transformation.

Programming: Familiarity with Apex, Visualforce, and Lightning Components.

SQL: Understanding of SQL and data querying.

Business Acumen: Understanding of business requirements and how they translate into technical solutions.