Sr Data Architect Hive, and Spark- Finance Data

10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields. 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. 10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields. 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.