Data Solution Architect

Location: Bengaluru

Rate: £120–£130/day

Start Date: ASAP

Initial Contract: 6 months

C2H (Contract-to-Hire): 6-month contract with the chance to be hired directly by the client afterward.

Design and implement scalable, cloud-native data solutions across OLAP and

OLTP architectures, applying advanced data management and governance practices. Provide technical leadership on modern data platforms for both analytical and operational use cases.

Key Responsibilities

Design Data Lake and Operational Data Store (ODS) architectures using cloud-native technologies.

Define and enforce Data Mesh principles for decentralised data ownership and governance.

Design batch and real-time data ingestion pipelines using Apache Kafka and other streaming technologies.

Build scalable ETL/ELT processes for data cleansing, validation, and transformation.

Develop conceptual, logical, and physical data models for analytical and operational use cases.

Cloud and advanced analytics: Use AWS services (S3, Glue, Redshift,

Lambda, Kinesis, SageMaker) for storage, processing, and ML workflows;

ensure solutions are cloud-native, secure, and optimised for performance and cost.

Governance and quality: Implement data quality frameworks, metadata management, and lineage tracking; define data standards, policies, and best practices with stakeholders.





Collaboration and leadership: Work with data product owners, engineers, and business teams; provide technical leadership and mentorship to data engineering teams.

Skills & Experience

Proven data architecture and engineering experience in large-scale enterprise environments.

Strong knowledge of Data Lake, ODS, and Data Mesh architectures.

Hands-on experience with Apache Kafka for real-time data streaming.

Proficient in data ingestion, cleansing, validation, and modelling.

Expertise in AWS services (S3, Glue, Airflow, SageMaker Unified Studio,

Apache Kafka, Amazon QuickSight, etc.).

Strong problem-solving, analytical, communication, and stakeholder-

management skills.

Domain: Banking experience, preferably Transaction Banking within the

Commercial LOB.

Success Measures

Scalable, secure, cloud-native data platforms delivered for both OLAP and

OLTP use cases.

Data Mesh principles and governance adopted for decentralised ownership.

Reliable batch and real-time ingestion pipelines in production.

Strong data quality, metadata, and lineage supporting trusted analytics and operations.

Optimised performance

Pay: Up to ₹4,500,000.00 per year

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Data Solution Architect-H (Bengaluru)
🏢 Stellaspire
📍 Bengaluru