Data & Technical Architect - Platform Intelligence Layer

What you'll actually do:

• Design the entire data architecture: how health events, transactions, claims, credit scores, and blockchain state all connect
• Build the data pipeline that ingests: card transactions, USSD interactions, WhatsApp messages, provider claims, on-chain events, HealthKit data.
• Implement the credit scoring engine: define features, build models, deploy to production, monitor performance
• Create the predictive analytics layer: risk scoring (who's likely to have expensive health event), cost prediction (annual spending forecast), fraud detection
• Design data governance framework: what's PII, what's PHI, what can be anonymized, what goes on-chain vs off-chain
• Build internal BI tools for ops, finance, and leadership: real-time dashboards, cohort analysis, unit economics tracking
• Partner with engineering to implement CDC (change data capture), event streaming (Kafka/Pub/Sub), and data warehousing (BigQuery/Snowflake)

You're a fit if:

• 7+ years in data engineering/architecture, with at least 3 years in fintech, healthtech, or insurtech
• You've built production ML systems—not just models, but the full MLOps pipeline: training, serving, monitoring, retraining
• Deep expertise in: SQL (complex queries, window functions, CTEs), Python (pandas, scikit-learn, TensorFlow/PyTorch), and modern data stack (dbt, Airflow, Fivetran)
• Experience with real-time data: streaming analytics, event-driven architecture, sub-second latency requirements
• You understand privacy regulations (NDPR, GDPR, HIPAA-equivalent) and can design compliant systems
• You've worked with blockchain data before (indexing events, tracking wallet behavior, on-chain analytics)
• Bonus: Experience building credit models, healthcare analytics, or fraud detection systems

Why this role is different:

• You're not just warehousing data—you're building the intelligence layer that makes every other product decision possible
• Your credit model determines who gets 0% emergency loans. Your risk scoring determines premium pricing. Your fraud detection protects user funds.
• You'll work with data that spans traditional finance (card transactions), health (claims, HealthKit), and Web3 (on-chain behavior)
• This is a founding technical role—you'll hire and lead the data team as we scale
• Significant equity grant reflecting the strategic importance

Location: Remote (Africa/Europe preferred) with quarterly on-sites in Lagos.

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