Sr Manager, Data Engineering

Position Summary:

We are seeking a Sr. Manager, Data Engineering to lead the engineering strategy and delivery for our RealTime Customer Data Platform (CDP) with a primary focus on audience building and segmentation. You will own low latency ingestion, identity resolution, audience/segment services, latency ingestion, identity resolution, audience/segment services, consent targeting frameworks, and aware targeting frameworks, and high-performance activation APIs that power omnichannel experiences, loyalty, and marketing operations at global channel experiences, loyalty, and marketing operations at global scale.

Primary Responsibilities:

• RealTime CDP & Streaming
• Audience Building & Segmentation
• Customer Data Products & Quality
• Leadership & Delivery
• Cross Functional Collaboration

Who We’re Looking For:

A Handson, strategic Data Engineering leader who can elevate real-time customer data and audience/segmentation capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy safe, high-performance activation.

• Architect and scale real-time pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.
• Design and evolve customer event models, session-inaction, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view.
• Implement low latency activation APIs used by apps, web, CRM, loyalty, kiosks, and marketing orchestration platforms.
• Establish standards for observability, SLAs/SLOs, schema evolution, lineage, and cost efficiency across streaming and batch paths.
• Lead the design and operation of a scalable audience/segmentation platform supporting both real-time and batch segment creation and refresh.
• Build dynamic audience services for behavioral and lifecycle cohorts, rules driven propensity groupings, and event triggered Realtime time segments.
• Define data contracts and versioning for attributes, traits, and segment definitions to ensure reuse, durability, and safe change management.
• Set audience governance standards (freshness SLAs, recency/frequency windows, cardinality limits, consent gates) and ensure they’re consistently enforced.
• Partner with Mar Tech and Product to templatize audience playbooks (e.g., reactivation, onboarding, churn risk, high value, cartabandon).
• Own high-fidelity customer data products (profiles, attributes, segments, preferences, consent) backed by clear SLOs and documentation.
• Implement comprehensive data quality, validation, and lineage across all audience and profile pipelines.

Qualifications

• 10–15 years in largescale Data Engineering / Distributed Systems.
• 5+ years leading engineering teams/squads.
• 4+ years with GCP or AWS (GCP preferred).
• 3+ years working on real time customer data and/or segmentation platforms.
• Experience with CDPs (mParticle, Adobe RTCDP, Braze, Tealium).
• Designing Realtime audience builders, rule engines, and activation frameworks.
• Multiregional deployments, data residency, and consent management at global scale.
• Strong stakeholder communication; ability to simplify technical concepts for marketers and product leaders.
• Systems thinker with strong architectural judgment and influence.