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indeed

Data Solution Architect- C2H

Stellaspire
Karnataka, IND
Contract
Hybrid
£120–£130 per day
Discovered 1 months ago
Data architectureData engineeringData Lake architectureOperational Data Store (ODS)Data MeshApache Kafka

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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