Data Architect

Response Informatics is hiring for Data Architect

Role : Technical /Data Architect

Location : United kingdom

Responsibilities:

Data Architecture & Modeling:

• 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.

Collaboration & Strategy:

• 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.

Note : Sponsorship will be provided