
Senior Data Architect
2 hours ago
Responsibilities
10–12 years of experience in data engineering or enterprise data architecture within the banking/financial domain.
Demonstrated expertise in building and managing enterprise-scale data platforms on cloud (AWS, Azure, GCP).
Proven track record with technologies such as Apache Spark, Hadoop, Kafka, Snowflake, Databricks, etc.
Experience with API integrations, microservices, and DevOps/CI-CD pipelines.
Ability to implement enterprise-wide data security and access control frameworks.
Excellent communication and stakeholder management abilities.
Strong leadership, analytical, and problem-solving skills.
Collaborate with the Head of Regional Architecture & Engineering to define the strategic roadmap for the regional data platform.
Align platform design with enterprise architecture principles and long-term business goals.
Architect scalable, secure, and efficient solutions that integrate with existing enterprise systems.
Lead the end-to-end design and delivery of the data platform including ingestion, transformation, and analytics pipelines.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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Note: This listing has been refined to remove boilerplate and non-job-related content. It retains the core responsibilities and qualifications relevant to a Data Platform Architect role.
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