Senior Data Architect

Responsibilities

Data Architecture & Modeling :

• 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.
  

Requirements

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.
  

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.
  

• Exposure to data governance cataloging lineage and observability platforms.
  

• Experience supporting audit compliance and financial controls requirements.
  

Benefits

• 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.
  

Required Skills:

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. 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. Exposure to data governance cataloging lineage and observability platforms. Experience supporting audit compliance and financial controls requirements.

Employment Type : Full Time
Experience: years
Vacancy: 1