ApplySarthi

Senior Data Architect

Zensar

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  1. Why do you want to join Zensar?
  2. What is your experience with Spark? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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We are seeking a Senior Data Architect, Finance Data to lead the architecture and design of Finance data platforms and data products at scale, with a primary focus on transactional finance data systems and OLTP data modeling. This role will be responsible for defining robust transactional data models, architecture patterns, governance standards, data contracts, and scalable data pipelines that support financial operations, payments, settlements, accounting, ledgers, reconciliation, reporting, and analytics. The ideal candidate brings deep expertise in OLTP-first data architecture, strong hands-on experience with MySQL and PostgreSQL, and the ability to design downstream analytical data models using Hive, Spark, and data warehouse technologies. They will partner closely with Finance, Risk, Engineering, Analytics, and Operations teams to translate business requirements into reliable, maintainable, auditable, and scalable data solutions. ● 10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields. ● Strong expertise in transactional data modeling and OLTP data architecture. ● Deep hands-on experience with MySQL and PostgreSQL. ● Strong understanding of primary keys, foreign keys, indexing, partitioning, normalization, historical tracking, auditability, and transactional integrity. ● Experience designing data models for Finance domains such as payments, settlements, accounting, ledgers, reconciliation, financial reporting, or financial operations. ● Strong expertise in SQL and query performance optimization. ● Experience designing large-scale ETL/ELT architectures and data platforms. ● Strong understanding of CDC, incremental processing, reconciliation, data quality, and metadata management. ● Hands-on experience with analytical data platforms such as Hive, Spark, Spark SQL, or similar distributed processing technologies. ● Strong understanding of OLAP modeling, including fact tables, dimension tables, aggregates, and reporting datasets. ● Proven ability to drive architecture decisions and work independently as a senior technical leader

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Listed on oraclehcm · posted 2026-11-05. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.