CDP Operations Specialist: Someone who is well-versed in configuring user traits, mapping data schemas, setting up inbound/outbound integrations, and building/managing audiences in a CDP ecosystem (mParticle).
GCP Infrastructure Practitioner: An engineer with a strong cloud foundation who can easily design, set up, and maintain GCP-based data pipelines and supporting cloud infrastructure that feeds into and wraps around the CDP.
Primary Responsibilities
Direct Development: Directly implement, test, and deploy scalable real-time and batch data pipelines connecting mParticle with downstream marketing platforms (e.g., Braze) and core data warehouses.
CDP Integrations: Build and manage new integration patterns, establish secure webhook endpoints, configure event-forwarding rules, and orchestrate low-latency data streams into and out of mParticle.
Audience Management: Build, optimize, and reconcile user audiences, traits, and segment logic within the CDP, partnering with stakeholders to resolve audience count discrepancies.
GCP Infrastructure: Design, configure, and maintain robust GCP infrastructure (utilizing BigQuery, Pub/Sub, Cloud Run, Cloud Functions, GCS, and Terraform) that supports and surrounds mParticle operations.
- Observability & Health: Set up monitoring, logging, and alerting systems (e.g., New Relic, OpenTelemetry) to ensure high platform uptime, data hygiene, and automated error handling across streaming pipelines.
- Engineering Standards: Maintain clean, version-controlled codebases (via Git) and actively participate in design sessions, technical reviews, and Agile sprint delivery cycles
Qualifications
Required Qualifications
CDP Experience: Hands-on experience operating and developing within an enterprise Customer Data Platform (preferably mParticle, or alternatively Segment/Tealium, or a similar CDP tool), specifically with configuring data ingestion & forwarding rules, audience qualification, and activation feeds.
GCP Ecosystem: Solid professional experience building data pipelines and managing resources within Google Cloud Platform (GCP), specifically utilizing BigQuery, Pub/Sub, Cloud Functions, and Cloud Run.
Programming & Systems: Proficiency in Python and/or Java, with strong skills in writing SQL queries, manipulating JSON/AVRO payloads, and working with REST APIs
Event-Driven Architectures: Experience working with real-time streaming platforms (e.g., Kafka, Pub/Sub) and event-driven data flow principles.
DevOps Tooling: Hands-on familiarity with Git-based version control, CI/CD pipelines, and Infrastructure as Code (Terraform)
Agile Delivery: Experience working in fast-paced Agile/Scrum environments, with a track record of translating business requirements into technical implementations.
Preferred Qualifications
Experience integrating customer data flows with omnichannel marketing tools (e.g., Braze, Meta, Google Ads, LiveRamp, TradeDesk).
Experience utilizing monitoring and observability frameworks (e.g., New Relic, OpenTelemetry, Grafana) to debug live streaming pipelines
Google Cloud Professional Data Engineer or Cloud Architect certification (or lower-level Data Engineering or Cloud Architectural Google Certs)
Familiarity with customer identity resolution and data privacy frameworks (e.g., GDPR, CCPA)
McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.
Apply now »
Find similar jobs
