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.

  
  
  

• Competitive salary and performance-based bonuses.
  
• Comprehensive insurance plans.
  
• Collaborative and supportive work environment
  
• Chance to learn and grow with a talented team.
  
• A positive and fun work environment.