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This role emphasizes building, testing, and operating data pipelines while developing strong fundamentals in streaming and distributed data systems.</p><p><strong>Primary Responsibilities:</strong></p><ul><li>RealTime CDP &amp; Streaming</li><li>Audience Building &amp; Segmentation</li><li>Customer Data Schemas &amp; Quality</li><li>Leadership &amp; Delivery</li><li>Cross Functional Collaboration</li></ul><p><strong>Work location: Hyderabad, India</strong></p><p><strong>Work pattern: Full time role.</strong></p><p><strong>Work mode: Hybrid.</strong></p><p><strong>Who We’re Looking For:</strong></p><p>A hands-on, full stack <strong>Data Engineering leader</strong> who can build real time and batch customer data pipelines and build <strong>audience/segmentation</strong> capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy safe, high-performance activation.</p><ul><li>Build and scale <strong>real time pipelines</strong> for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.</li><li>Design and evolve <strong>customer event models</strong>, session-ization, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view.</li><li>Implement <strong>low latency activation APIs</strong> used by apps, web, CRM, loyalty, kiosks, and marketing orchestration platforms.</li><li>Build and maintain <strong>observability, SLAs/SLOs, schema evolution, lineage, and cost efficiency</strong> across streaming and batch paths.</li><li>Build <strong>dynamic audience services</strong> for behavioral and lifecycle cohorts, rules driven propensity groupings, and <strong>event triggered real time segments</strong>.</li><li>Define <strong>data contracts</strong> and versioning for attributes, traits, and segment definitions to ensure reuse, durability, and safe change management.</li><li>Setup and configure <strong>audience governance</strong> rules (freshness SLAs, recency/frequency windows, cardinality limits, consent gates) and ensure they’re consistently enforced.</li><li>Create and maintain <strong>audience playbooks</strong> (e.g., reactivation, onboarding, churn risk, high value, cart abandon).</li><li>Deepen market relationships to better understand segmentation and activation needs.</li><li>Ideate and propose new capabilities for testing and market validation.</li><li>Create <strong>customer data schemas </strong>(profiles, attributes, segments, preferences, consent) backed by clear SLOs and documentation.</li><li>Implement comprehensive <strong>data quality, validation, and lineage</strong> across all audience and profile pipelines.</li><li>Create <strong>reference patterns and templates</strong> so global markets and channels can integrate quickly and safely.</li><li>Enhance collaboration with other product teams to proactively drive and align requirements.</li><li>Take active role in leading design discussions, especially around CDP capabilities.</li><li>Improve oversight of vendor resources to ensure timely and quality delivery.</li><li>Ideate capabilities and <strong>roadmaps</strong>, manage dependencies, and deliver against business outcomes with clear KPIs and executive reporting.</li><li>Build <strong>engineering excellence</strong>: testing, automation, code quality, observability, and operational readiness.</li><li>Collaborate with Product, Mar Tech, Loyalty, Architecture, Data Governance, Security, Legal, and Compliance to align roadmaps and ensure <strong>privacy-by-design</strong> and <strong>security-by-default</strong>.</li><li>Translate marketing and product <strong>activation needs</strong> into reusable audience capabilities and APIs.</li><li><strong>SQL</strong> Very Strong proficiency in native SQL, Has used Big Query or Athena Advanced performance tuning on large datasets.</li><li><strong>Languages:</strong> Python (primary), JavaScript, Node.js plus Java.</li><li><strong>Streaming &amp; 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