In this position, you will focus on developing robust data solutions within the Salesforce Data Cloud environment. Your work will enable seamless integration, management, and optimization of data workflows, granting easier access to unified and actionable insights that enhance our customer operations.

#LI-DNI

Responsibilities

Design, develop and maintain data pipelines within Salesforce Data Cloud for efficient data ingestion, transformation, and unification
Build and maintain integrations between Salesforce Data Cloud and external systems utilizing APIs, ETL tools, and middleware
Implement both real-time and batch data processing workflows that cater to specific business needs
Configure core features within the Data Cloud such as Data Streams, Data Models, and Calculated Insights
Develop custom solutions and scripts enhancing Salesforce Data Cloud functionality
Optimize data storage and retrieval processes to improve system performance
Establish robust data quality checks including deduplication and validation procedures
Collaborate with data governance teams, ensuring adherence to both organizational and regulatory standards
Maintain consistent data accuracy and proactively troubleshoot any data issues
Work closely with architects, analysts, and developers to ensure technical solutions align with business objectives
Provide crucial technical guidance during solution design and requirement gathering phases
Lead integration testing, debug efforts and tune system performance
Keep comprehensive documentation of data workflows, system configurations, and technical processes

Requirements

Strong knowledge of Salesforce Data Cloud architecture and functional capabilities
Experience with ETL tools such as MuleSoft or Informatica and capabilities in data modeling and transformation
Proficiency in programming languages including Python, Java, or Apex and advanced skills in SQL for data manipulation and scripting
Understanding of API development and various integration methods including REST and SOAP
Deep understanding of customer data platforms, expertise in relational databases and familiarity with big data technologies
Familiarity with various data formats including JSON, XML, CSV and an understanding of data lake and warehouse architectures
Demonstrated ability to diagnose and effectively resolve technical issues
Experience in data workflow performance tuning and optimization
Preferred qualifications include Salesforce certifications such as Salesforce Data Cloud Consultant or Salesforce Developer
Certification in AWS, Azure, GCP, or MuleSoft is beneficial
Fluent English communication skills at a B2+ level