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.