Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's in Data Science preferred.
Certifications in Google Cloud, Data Management, Apache Hadoop, WebSphere DataStage, and Informatica are highly valued.
Proficiency in Apache Flink and Apache Kafka is essential.
Strong background in integration architecture is required.
Fluent in English with a proficiency level of C2.
Responsibilities
Architect and design comprehensive enterprise integration solutions across various systems.
Define and implement integration patterns for real-time and batch data movement.
Lead the design of event-driven platforms using Kafka and related technologies.
Govern Kafka-based streaming pipelines, focusing on topic strategy and message durability.
Design reusable integration components for data transformation and monitoring.
Collaborate with stakeholders to translate business needs into technical solutions.
Conduct architecture reviews and support delivery teams in overcoming technical challenges.
Benefits
Remote work flexibility.
Opportunities for professional development and certifications.
Collaborative work environment with cross-functional teams.
Access to cutting-edge technologies and tools.
Supportive culture for innovation and problem-solving.
Full Job Description
Sr. Data Architect
Job Description
Key Responsibilities
Architect and design end-to-end enterprise integration solutions across source systems, CDC pipelines, enterprise bus, middleware, and API layers.
Define and implement integration patterns for:
Real-time event-driven communication
Near real-time synchronization
Batch data movement
Hybrid integration scenarios
Design scalable CDC 12 Enterprise Bus 12 Middleware 12 APIM data flow architecture for enterprise-wide data exchange.
Lead architecture and solution design for event-driven platforms using Kafka / Confluent and related streaming technologies.
Design and govern Kafka-based streaming pipelines, including:
Topic strategy and partitioning
Producer/consumer patterns
Schema management
Message durability and replay
Error handling and dead-letter queue patterns
Build and optimize streaming transformations using:
Single Message Transforms (SMT)
KSQLDB for stream processing and enrichment
Apache Flink for advanced stateful event processing and analytics
Define and govern API contracts for enterprise integrations, including:
REST API design standards
POST methods for product data ingestion
Payload schemas and validation rules
API versioning strategy
Contract lifecycle governance
Design reusable integration components and frameworks for:
Routing and orchestration
Data transformation
Schema evolution
Retry and resiliency patterns
Exception handling
Monitoring and observability
Establish enterprise standards for:
Integration architecture
Security and compliance
API governance
Message schema standards
Performance optimization
Collaborate with business stakeholders, product owners, engineering teams, and enterprise architects to translate business requirements into technical solution designs.
Conduct architecture reviews, solution validations, and technical governance checkpoints.
Support delivery teams in resolving critical technical challenges during implementation.
Prior experience on Finance data transformation will be great
Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
The approximate annual base compensation range for this position is: 100,000 to 125,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
About Genpact Limited
Genpact is a global professional services firm that makes business transformation real. They drive digital-led innovation and digitally-enabled intelligent operations for their clients, guided by their experience running thousands of processes primarily for Global Fortune 500 companies. They think with design, dream in digital, and solve problems with data and analytics. Combining their expertise in end-to-end operations and their AI-based platform, Genpact Cora, they focus on the details ? all 90,000+ of them ? that make a real difference to their clients and the customers they serve.
