Data Architect (AI, Advanced Analytics & Banking Payments)

🚀 We're Hiring! — Data Architect (AI, Advanced Analytics & Banking Payments)

🌟 We are looking for an experienced Data Architect to design and lead high‑performance, secure, and scalable data architectures supporting AI/ML, real‑time analytics, and banking payment systems .

🔍 Role Summary

As a Data Architect , you will design and govern enterprise‑level data platforms and frameworks that empower AI, fraud detection, credit scoring, and digital payments—ensuring full alignment with banking regulations and security standards .

📌 Key Responsibilities:

✅ Design AI‑ready data platforms (Data Lakes, Lakehouses, distributed storage)

✅ Build enterprise data models for analytics, ML pipelines & fraud detection

✅ Lead large‑scale ingestion, streaming & real‑time processing (Transactions, AML, KYC)

✅ Enable ML lifecycle: feature stores, risk models, credit scoring

✅ Implement governance, lineage, cataloging & metadata frameworks

✅ Ensure data quality & compliance with financial regulations

✅ Optimize large datasets: transactions, portfolios, regulatory data

✅ Collaborate with ML & engineering teams to integrate models into banking systems

✅ Ensure compliance with GDPR, PCI‑DSS & local banking regulations

🎯 Required Skills:

🔹 Strong experience with Big Data technologies (Spark, Hadoop, Databricks, Delta Lake)

🔹 Cloud platforms: Azure Synapse, AWS Redshift, GCP BigQuery

🔹 Proficient in SQL, Python & performance tuning

🔹 Tools: Kafka, ADF, SSIS, Airflow, DBT, Snowflake

🔹 Strong understanding of ML pipelines for banking use cases

🔹 Mandatory: Banking systems, digital payments, cards, ISO 20022, SWIFT, real‑time payments

🎓 Qualifications:

🎓 Bachelor’s/Master’s in Computer Science, Information Systems, or Data Engineering

💼 10+ years in Data Architecture / Data Engineering / Analytics

💳 Banking & Payments experience is required