• US Citizen

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 17th Feb 2025

1. Strategic Data Architecture & Platform Design

Lead the design and conceptualization of a modern data aggregation platform aligned with the needs of behavioral tracking and analytics.
Establish a Medallion Architecture (Bronze, Silver, Gold) for capturing raw events, processing intermediate layers, and delivering clean, enriched datasets ready for analytics and downstream applications.
Design a scalable architecture capable of handling high-velocity data streams and batch processing with precision and efficiency.
Build and maintain reusable frameworks for data ingestion, transformation, and enrichment.
2. Real-Time & Batch Data Processing

Architect and implement real-time streaming pipelines to capture events from:
Client SDKs for Web, Mobile, and Kiosks.
Server-side events for key interactions.
Batch systems integrating data from surveys, delivery partners, and external data feeds.
Attribution data from marketing tools.
Create efficient mechanisms for schema validation, event enrichment, deduplication, and data storage across layers.
Define data retention policies and ensure high availability for both historical and live data.
3. Data Integration & Cross-Platform Enablement

Build seamless integration pipelines to harmonize disparate data sources and enable analytics-ready datasets.
Enable multi-channel data fusion for a unified view of customer interactions across online and offline touchpoints.
Integrate data pipelines with analytics, BI, and marketing platforms to drive actionable insights.
Utilize event-driven architectures to ensure real-time updates to customer profiles, behavioral scores, and predictive analytics.
4. Governance, Compliance & Data Quality

Define and enforce data governance best practices, including cataloging, lineage tracking, and quality monitoring.
Ensure the platform complies with data privacy regulations (e.g., GDPR, CCPA) and is designed for security-first operations.
Implement role-based access controls (RBAC), data encryption, and masking strategies to protect sensitive information.
Monitor and improve data quality metrics at every stage of the pipeline.
5. Advanced Data Modeling

Define and implement advanced data modeling techniques for transactional, analytical, and dimensional datasets.
Establish models that support customer profiling, time-series analysis, and attribution frameworks.
Enable flexible querying of large-scale datasets for diverse use cases, including customer segmentation, targeting, and behavioral analysis.
6. Leadership & Collaboration

Collaborate with engineering, product, analytics, and marketing teams to align data architecture with business goals.
Mentor junior team members, fostering a culture of excellence and innovation.
Communicate complex technical solutions to non-technical stakeholders and ensure buy-in from leadership.
Desired Skills & Qualifications: