Job Summary
Serve as a senior developer specializing in customer data platforms and marketing technology designing and implementing scalable data solutions using tools such as M Particle Treasure Data Segment CDP Tealium CDP Google Marketing Platform Adobe Experience Platform Adobe Audience Manager and GCP. Collaborate in a hybrid work model to deliver high impact audience experiences and advanced segmentation.
Responsibilities
- Design robust customer data platform integrations that unify profile event and audience data using tools such as M Particle Treasure Data Segment CDP and Tealium CDP to enable consistent downstream activation across marketing ecosystems.
- Develop and optimize data pipelines on GCP that ingest transform and validate high volume customer and interaction data to support analytics personalization and regulatory compliance at enterprise scale.
- Implement advanced audience creation and segmentation logic using CDP capabilities so that marketing product and analytics teams can run targeted campaigns that improve engagement and conversion outcomes.
- Configure and enhance Adobe Experience Platform and Adobe Audience Manager solutions that orchestrate real time decisioning and audience activation while maintaining data quality and governance across multiple digital touchpoints.
- Engineer integrations between CDPs and Google Marketing Platform components to ensure accurate tagging attribution and activation that maximize media performance and return on marketing investment.
- Write performant SQL queries and data models that support audience definition measurement and reporting while ensuring that schemas remain maintainable well documented and aligned with evolving business needs.
- Collaborate closely with product business and analytics stakeholders to translate marketing and customer engagement objectives into technical designs and implementation backlogs that are feasible scalable and testable.
- Create and maintain detailed technical documentation implementation runbooks and data flow diagrams that provide transparency support onboarding of new team members and enable efficient incident resolution.
- Perform rigorous unit integration and end to end testing of CDP configurations data flows and orchestration logic so that releases in the hybrid working model are reliable and regression free.
- Analyze production issues related to data quality latency and activation accuracy then drive structured root cause investigations and sustainable fixes that reduce recurring operational overhead.
- Optimize orchestration journeys in Adobe Journey Orchestration by experimenting with triggers decision criteria and channel mix to enhance customer experience satisfaction and lifetime value.
- Contribute to solution design discussions for travel and hospitality or airlines data use cases when applicable ensuring that CDP and martech implementations are aligned to loyalty booking and ancillary revenue objectives.
- Partner with security and compliance teams to implement responsible data practices within CDP and marketing stacks including consent propagation preference management and regional data residency rules that protect customer trust.
Qualifications
- Apply extensive experience in M Particle Treasure Data Segment CDP and Tealium CDP to design end to end implementations that connect web mobile and backend systems while preserving data consistency.
- Use deep knowledge of Adobe Experience Platform Adobe Journey Orchestration and Adobe Audience Manager to configure schemas data sets segments and journeys that enable personalized customer interactions at scale.
- Leverage expertise in Google Marketing Platform and GCP services to align ad tech and cloud data strategies enabling unified measurement attribution and campaign optimization across channels.
- Employ strong SQL and data modeling skills to manage complex customer event and audience tables ensuring that queries perform efficiently on large datasets common in enterprise marketing environments.
- Draw upon prior experience in travel and hospitality or airlines domains when present to shape data strategies for bookings loyalty programs and customer service journeys that support differentiated products and services.
- Demonstrate the ability to work effectively in a hybrid work model by using collaboration tools clear communication practices and structured delivery approaches across distributed teams and time zones.
- Exhibit a solid track record of nine to twelve years in data engineering marketing technology or CDP focused development roles showing consistent delivery of production grade solutions and measurable business value.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
