Job Summary :
Our organization seeks an experienced Data Architect to develop, manage and maintain the data pipelines powering our customer intelligence system.
The ideal candidate is a skilled professional who can translate complex business requirements into scalable, secure and high-performance technical solutions.
- Key Responsibilities :
- Design and architect integration solutions for data flows between source systems, MuleSoft, Databricks and Salesforce Data Cloud.
- Develop reusable APIs using MuleSoft's Anypoint Platform to ingest data into the ecosystem and syndicate data to downstream systems.
- Implement advanced data transformation, cleansing and enrichment pipelines using PySpark and SQL within the Databricks Lakehouse Platform.
- Configure and manage Salesforce Data Cloud, including setting up data streams, performing data mapping and harmonization, defining identity resolution rules and creating insightful calculated metrics.
- Collaborate with marketing, sales and service teams to build and activate complex audience segments from Salesforce Data Cloud for use in personalization and campaign execution.
Required Skills and Qualifications :
Strong understanding of data integration patterns and architecture.Proficiency in developing APIs using MuleSoft's Anypoint Platform.Experience working with Databricks and PySpark.Ability to design and implement scalable, secure and high-performance data pipelines.Excellent collaboration and communication skills.Benefits :
As a key member of our team, you will have opportunities for growth and development, as well as access to cutting-edge technology and tools. We offer a collaborative work environment, flexible working arrangements and a competitive compensation package.
Other Opportunities :
In addition to your technical expertise, we value your ability to communicate complex ideas simply and effectively. You will work closely with cross-functional teams to drive business outcomes and deliver results that exceed expectations.