Data Architect
- Toronto, ON, Canada
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Original job description
Hello
Iris's client one of the leading Bank in Canada is urgently looking to hire a Data Architect.
Job Title - Data Architect
Location - Toronto ON
Hybrid - Yes ( 1- 2 days onsite)
Job description
Design and implement scalable data architecture solutions to support enterprise analytics, data integration, and real-time processing needs.
Develop and optimize streaming data pipelines using Apache Flink and Kafka for high-volume, low-latency data processing.
Define data models, architecture standards, and best practices across cloud-based and distributed data platforms.
Collaborate with engineering, analytics, and business teams to deliver reliable, secure, and scalable data solutions.
Work with AWS services such as S3, Kinesis, Glue, and EMR to support modern data platform capabilities.
About Iris Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.
More about this job
Responsibilities
Design and implement scalable data architecture for enterprise analytics, data integration, and real-time processing. Build and optimize high-volume streaming pipelines with Flink and Kafka, establish data models and architecture standards, and collaborate across teams to deliver secure, reliable solutions using AWS services.
Requirements
The role calls for expertise in data architecture, streaming pipelines, and distributed or cloud-based data platforms. It also requires familiarity with Apache Flink, Kafka, and AWS services including S3, Kinesis, Glue, and EMR; no specific education or years of experience are stated.
Skills
- Data Architecture
- Apache Flink
- Apache Kafka
- Streaming Data Pipelines
- Data Modeling
- Cloud Data Platforms
- Distributed Data Platforms
- AWS
- Amazon S3
- Amazon Kinesis
- AWS Glue
- Amazon EMR
- Data Integration
- Enterprise Analytics
- Real-Time Data Processing
- Data Security
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Data Architecture
- Enterprise Analytics
- Data Integration
- Real-Time Processing
- Streaming Data Pipelines
- Apache Flink
- Apache Kafka
- High-Volume Data Processing
- Low-Latency Processing
- Data Models
- Architecture Standards
- Cloud-Based Data Platforms
- Distributed Data Platforms
- AWS
- Amazon S3
- Amazon Kinesis
- AWS Glue
- Amazon EMR
- Scalable Data Solutions
- Secure Data Solutions
- Financial Services
- IT Services
- Data Platforms