Data Solution Architect- C2H
Role Overview
Design and implement scalable, cloud-native data solutions across OLAP and OLTP architectures.
Provide technical leadership on modern data platforms for analytical and operational use cases.
Key Skills for This Role
Full Job Posting
Role overview
Design and implement scalable, cloud-native data solutions across OLAP and OLTP architectures.
Provide technical leadership on modern data platforms for analytical and operational use cases.
Location and work arrangement
- The description lists Bengaluru and states the work arrangement is hybrid remote in Bangalore City, Bengaluru, Karnataka.
Contract and compensation
- The role begins with a six-month contract-to-hire arrangement, with an opportunity to be hired directly by the client afterward.
- The description lists a rate of £120–£130 per day and pay up to ₹4,500,000 per year.
Responsibilities
- Design Data Lake and ODS architectures using cloud-native technologies.
- Define and enforce Data Mesh principles for decentralized ownership and governance.
- Design batch and real-time ingestion pipelines using Kafka and other streaming technologies.
- Build scalable ETL/ELT processes for cleansing, validation, and transformation.
- Develop conceptual, logical, and physical data models for analytical and operational use cases.
- Use AWS services for storage, processing, and machine-learning workflows; optimize security, performance, and cost.
- Implement data quality frameworks, metadata management, and lineage tracking; define standards and policies with stakeholders.
- Collaborate with data product owners, engineers, and business teams; provide technical leadership and mentorship.
Skills and experience
- Proven data architecture and engineering experience in large-scale enterprise environments.
- Strong knowledge of Data Lake, ODS, and Data Mesh architectures; hands-on Apache Kafka streaming experience.
- Proficiency in ingestion, cleansing, validation, and modeling; expertise in AWS services including the listed examples.
- Strong problem-solving, analytical, communication, and stakeholder-management skills.
- Banking experience, preferably Transaction Banking within the Commercial line of business.
Success measures
Deliver scalable, secure, cloud-native platforms for OLAP and OLTP use cases.
Adopt Data Mesh principles and governance for decentralized ownership.
Deliver reliable production batch and real-time ingestion pipelines.
Provide trusted analytics and operations through strong data quality, metadata, and lineage.
Optimize platform performance.
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