Data Solution Architect

Location: Bengaluru
Initial Contract: 6 months
C2H (Contract-to-Hire): 6-month contract with the opportunity to be hired directly by the client afterward.
Mode of work - Hybrid

Design and implement scalable, cloud-native data solutions across OLAP and OLTP architectures, applying advanced data management and governance practices. Provide technical leadership on up-to-date 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.

Robust 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 and cost across AWS data services.

📌 Data Solution Architect (Bengaluru)
🏢 Stellaspire
📍 Bengaluru