Job Summary
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 modeling 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.
Key Responsibilities
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 optimization and cost efficiency.
Governance & 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 modeling 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.
Skill 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 modeling.
● Deep hands-on experience with MySQL, PostgreSQL, Hive, and Spark.
● Expert-level SQL skills and 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.
● Experience working with Finance domains such as payments, settlements,
accounting, ledgers, reconciliation, or financial reporting.
● Proven ability to drive architecture decisions and work independently as a senior
technical leader.
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, cataloging, lineage, and observability platforms.
● Experience supporting audit, compliance, and financial controls requirements.