Data Integration Architect

Job Title - Senior Data Integration Engineer

Experience - 6+Years

Job Summary

We are seeking a highly experienced and strategic Senior Data Integration Engineer to architect, build, and manage the data pipelines that power our customer intelligence ecosystem. In this critical role, you will be the subject matter expert responsible for designing and implementing robust integrations between our core platforms : Salesforce Data Cloud, Databricks, and MuleSoft.

You will be responsible for creating a seamless flow of data, enabling advanced analytics, and empowering our business to activate real-time customer insights. The ideal candidate is a hands-on expert who can translate complex business requirements into scalable, secure, and high-performance technical solutions.

Key Responsibilities

• Architect Integration Solutions : Lead the design and architecture of data integration patterns and end-to-end data flows between source systems, MuleSoft, Databricks, and Salesforce Data Cloud.
• Develop MuleSoft APIs : Design, develop, and deploy reusable, API-led integration solutions using MuleSoft's Anypoint Platform to ingest data into the ecosystem and to syndicate data to downstream systems.
• Build Advanced Data Pipelines in Databricks : Implement complex data transformation, cleansing, and enrichment pipelines using PySpark and SQL within the Databricks Lakehouse Platform. Prepare and model data for ingestion into Salesforce Data Cloud and for advanced analytics use cases.
• Master Salesforce Data Cloud : 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.
• Enable Data Activation : 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.
• Ensure Governance and Performance : Implement data quality checks, error handling, and performance monitoring across all platforms. Ensure solutions adhere to data governance policies, security standards, and privacy regulations.
• Mentorship and Best Practices : Act as a senior technical resource for the team, establishing best practices for integration and data engineering. Provide guidance and mentorship to junior team members.
• Stakeholder Collaboration : Work closely with business analysts, data scientists, and platform owners to gather requirements and deliver solutions that provide tangible business value.

Required Skills & Experience

Preferred Qualifications

Company Description-

Indsafri believes in the limitless potential of individuals to create and build anything imaginable. They leverage their deep industry experience and cutting-edge technology to help organizations transform for growth. They work with some of the best organizations around the world and have a global network of partners and talents. Indsafri believes that technology is at its best when it makes people smile. This is a place where with passion and intelligence, anything is possible.

Interested candidates can reach out to sowjanya.dommaraju@indsafri.com