What are the responsibilities and job description for the AWS Solutions Architect position at EROS Technologies Inc?
Job Description-
Key Responsibilities
1. Client Engagement & Consulting
- Act as a trusted advisor to banking clients (business technology stakeholders)
Lead:
- Discovery workshops o Use case identification
- Solution discussions and architectural reviews
- Translate business problems (risk, fraud, customer analytics, reporting) into data-driven solutions
- Drive stakeholder alignment across business, data, and engineering teams
2. Data Architecture & Engineering Leadership
- Design and own end-to-end data architectures on AWS, including:
- Data lakes / lakehouse architectures
- Batch real-time pipelines
- Data ingestion, processing, and consumption layers
- Define data models, governance frameworks, and architecture blueprints
Provide hands-on guidance on:
- ETL/ELT pipelines
- Streaming (Kafka / Kinesis)
- Analytics platforms (Redshift / Snowflake / Databricks)
3. AWS Cloud Architecture
- Architect scalable and secure AWS environments using:
- S3, Redshift, Glue, Athena, EMR
- Lambda, ECS/EKS, Step Functions
- API Gateway, EventBridge, Kinesis
- Ensure adherence to: o AWS Well-Architected Framework
- Banking compliance (RBI / PCI-DSS / data security)
4. Problem Solving & Solutioning
- Break down ambiguous business problems into structured solutions
- Drive solution design with trade-off analysis (cost, performance, scalability)
Support:
- Data modernization initiatives
- Legacy-to-cloud transformations
- Real-time analytics and reporting solutions
5. Delivery & Team Leadership
- Mentor and guide data engineers, cloud engineers, and analysts
- Ensure high-quality architecture implementation
- Collaborate with offshore/onshore teams for delivery success
Drive best practices in:
Data engineering
DevOps & automation
Testing and observability
Required Skills:
Core Technical:
- Strong hands-on experience in: o Data Engineering (Spark, SQL, Python)
- Data pipelines & ETL frameworks
- Deep expertise in AWS data stack:
- Glue, Redshift, S3, EMR, Athena o Kinesis / Kafka for streaming Experience with: o Modern data platforms (Databricks / Snowflake preferred)
- Architecture
- Proven ability to: o Design scalable data architectures
- Define data flows, models, and integration patterns
- Strong understanding of:
- Batch vs real-time processing
- Data governance & quality frameworks
Consulting & Client Skills
- Experience in client-facing roles (consulting/services firms preferred)
- Strong ability to: o Lead discussions with business tech stakeholders
- Convert requirements into solution designs Excellent communication and storytelling skills
Banking / Financial Domain (Preferred)
Exposure to:
- Risk, fraud, payments, reporting, regulatory systems
- Understanding of: o Data compliance and security in banking