We are seeking a Senior Data Architect, Finance Data to lead the architecture and design of Finance data platforms and data products at scale, with a primary focus on transactional finance data systems and OLTP data modeling.

This role will be responsible for defining robust transactional data models, architecture patterns, governance standards, data contracts, and scalable data pipelines that support financial operations, payments, settlements, accounting, ledgers, reconciliation, reporting, and analytics.

The ideal candidate brings deep expertise in OLTP-first data architecture, solid hands-on

experience with MySQL and PostgreSQL, and the ability to design downstream analytical data models using Hive, Spark, and data warehouse technologies. They will partner closely with Finance, Risk,



Engineering, Analytics, and Operations teams to translate business requirements into reliable, maintainable, auditable, and scalable data solutions.

Technical Requirements:
- Python: Required
- SQL: Required
- PySpark/Spark: Required
- REST APIs: Required
- Streaming: Kafka, Event Hubs, Kinesis
- Orchestration: Airflow, Lakeflow, ADF
- Cloud: Azure, AWS, Databricks
- Vector Search: Pinecone, FAISS, Databricks Vector Search
- RAG: Required
- CI/CD: Git, Azure DevOps, GitHub Actions

Thanks,

John Ebinesar J

(phone hidden)

📌 Data Architect (Hyderabad)
🏢 iOpex
📍 Hyderabad