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Tier-1 fintech, metro location, and senior niche role suggest moderate competition for qualified candidates.
Platform architecture skills transfer across industries, though enterprise governance and payments context raises sensitivity.
Extensive mandatory platform architecture experience and specific data platform technology requirements imply strict shortlisting.
Lead design and evolution of enterprise data platforms to simplify secure external data exchange and enable better data discovery and access.
Define technical vision, architecture, and roadmaps for scalable, reusable data onboarding, integration, governance, and self-service analytics capabilities.
Provide technical leadership and influence architecture decisions across multiple teams while collaborating with Product, Engineering, Data Governance, and Security stakeholders.
Extensive experience architecting large-scale data platforms and distributed systems using technologies such as Spark, Kafka, Flink, NiFi, Hadoop, Databricks, and cloud-native services.
Deep expertise in data engineering, data architecture, data integration, and cloud platforms with strong understanding of data governance, privacy, security, metadata, and data quality.
Proficiency in Python, SQL, and data ecosystem tools including Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced architect capable of building reusable data platforms serving multiple products and business domains across hybrid environments.
Strong influencer able to drive technical alignment and establish engineering standards across diverse teams without direct authority.
Skilled in translating complex, ambiguous business needs into scalable technical solutions and collaborating with both technical and non-technical stakeholders.