The Senior MDM Engineer will architect and build end-to-end master data management and relationship-graph solutions for financial services clients. This role involves designing match and merge logic, establishing data quality standards, and mentoring a team to deliver scalable data platforms.
The Technical Project Manager drives the day-to-day execution of complex data and Databricks engagements by managing project plans, dependencies, and technical delivery. They act as the bridge between technical engineering teams and client stakeholders to ensure project health, clear communication, and alignment with business outcomes.
The Enterprise Technical Architect will define and deliver complex technology solutions across Salesforce, data platforms, AI, and cloud ecosystems. They will act as a hands-on leader, translating business problems into scalable architectures while mentoring engineering teams.
The Salesforce Data 360 Engineer is responsible for building and managing data pipelines to unify customer data within the Salesforce Data Cloud platform. They will also handle data modeling, identity resolution, and the activation of unified data across various marketing, sales, and service channels.
Design and implement large-scale Databricks data platforms and pipelines within Azure for enterprise clients. Lead technical direction, optimize Spark workloads, and mentor other engineers to ensure scalable and reliable data solutions.
