We are seeking a Senior Data Architect to lead the architecture and design of Finance data platforms and data products at scale. This role will be responsible for defining data models, architecture patterns, governance standards, and scalable data pipelines that support financial operations, reporting, reconciliation, and analytics. The ideal candidate combines deep expertise in transactional and analytical data modelling with hands-on experience building large-scale data systems. They will partner closely with Finance, Engineering, Analytics, and Operations teams to translate business requirements into robust, maintainable, and scalable data solutions.
Data Architecture And Modelling
The candidate will have responsibilities across the following functions
:
- Define and own the architecture for Finance data platforms and datasets.
- Design enterprise-grade transactional data models using MySQL and PostgreSQL.
- Design scalable analytical data models using Hive, Spark, and data warehouse technologies.
- Establish standards for fact, dimension, aggregate, historical, and reporting data structures.
- Define table grain, primary keys, partitioning strategies, indexing, retention policies, and historical tracking approaches.
- Design data contracts and integration patterns across Finance systems and downstream consumers.
Data Pipeline Architecture
- Architect and guide the implementation of ETL/ELT pipelines supporting Finance use cases.
- Design scalable ingestion and processing patterns including batch, incremental, CDC, backfill, reconciliation, and recovery workflows.
- Ensure reliability, scalability, observability, and maintainability of data pipelines.
- Drive architecture decisions for performance optimisation and cost efficiency.
Governance And Quality
- Establish data quality, lineage, metadata, ownership, and governance standards.
- Define reconciliation frameworks and controls to ensure financial data accuracy and auditability.
- Drive best practices for monitoring, validation, and operational excellence.
- Partner with stakeholders to ensure compliance with financial reporting requirements.
Technical Leadership
- Provide architectural guidance and design reviews across Finance data initiatives.
- Mentor engineers and data practitioners on modelling and architecture best practices.
- Collaborate with Finance, Engineering, Analytics, and Operations teams to align business and technical goals.
- Influence long-term data platform strategy and roadmap.
Requirements
- 10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields.
- Strong expertise in both transactional (OLTP) and analytical (OLAP) data modelling.
- Deep hands-on experience with MySQL, PostgreSQL, Hive, and Spark.
- Expert-level SQL skills and a strong understanding of distributed data processing.
- Experience designing large-scale ETL/ELT architectures and data platforms.
- Strong understanding of CDC, incremental processing, reconciliation, data quality, and metadata management.
Preferred Qualifications
- Experience with Spark SQL, PySpark, Hive SQL, Airflow, or similar orchestration frameworks.
- Experience designing data architectures in fintech, payments, marketplace, mobility, or large-scale technology environments.
Uber Experience
- Exposure to data governance, cataloguing, lineage, and observability platforms.
- Experience supporting audit, compliance, and financial controls requirements.
This job was posted by Ana Bardhan from Nineleaps.
