Social network you want to login/join with:
Response Informatics is hiring for Data Architect
Role : Technical /Data Architect
Responsibilities:
- Design end-to-end data architecture for loyalty platforms, ensuring seamless integration with CRMs, CDPs, DMPs, analytics platforms, and MarTech stacks.
- Create logical and physical data models to support loyalty use cases—points accrual, redemption, tiering, customer preferences, and behavioral segmentation.
- Define canonical data models and customer 360 views across systems and touchpoints.
Integration & Platform Enablement:
- Collaborate with MarTech teams to ensure loyalty data flows smoothly into platforms like Salesforce, Adobe Experience Platform, Oracle CX, Braze, etc.
- Define APIs, data pipelines, and ETL/ELT processes to ingest, transform, and activate data from multiple sources (web, mobile, POS, email, app).
- Ensure architecture supports real-time data flows for triggers, personalization, and loyalty lifecycle messaging.
Data Governance & Quality:
- Establish data governance policies, taxonomy standards, and metadata management practices for loyalty-related data.
- Ensure data integrity, consistency, and compliance with privacy regulations (GDPR, CCPA, etc.).
- Work closely with data stewards and engineers to enforce quality control and lineage tracking.
- Partner with loyalty strategists, business analysts, and data scientists to align architecture with program objectives.
- Support advanced analytics, ML models, and campaign optimization efforts with clean and structured datasets.
- Evaluate and recommend technologies that enhance loyalty data capabilities (e.g., CDPs, identity resolution tools, consent management).
Qualifications:
- 8+ years of experience in data architecture, data engineering, or enterprise data platforms, with a focus on marketing or customer data.
- Strong understanding of loyalty program data structures and customer lifecycle management.
- Proficient in data modeling, API architecture, cloud platforms (AWS, GCP, Azure), and relational/NoSQL databases.
- Experience with MarTech integration and customer data platforms (CDPs) such as Adobe Experience Platform, Salesforce Data Cloud, or Segment.
- Hands-on experience with tools like SQL, Python, Spark, Kafka, Airflow, or dbt.