Senior Data Architect

Responsibilities

• 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 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.
  

Required Qualifications :

• 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.
  

• 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.
  

• Exposure to data governance cataloging lineage and observability platforms.
  

• Experience supporting audit compliance and financial controls requirements.