Data Architect

1 month ago

United Kingdom HCLTech Full time

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We are seeking a talented and experienced Data Architect to join our team.
The ideal candidate will have a strong background in designing and implementing data solutions
in an AWS DevOps microservices environment using Kafka and Snowflake.
As a Data Architect, you will play a crucial role in defining and implementing the data
architecture, data modeling, and data integration solutions for our organization.

Design and implement scalable and efficient data architecture solutions in an AWS environment,
leveraging microservices architecture and DevOps principles.
Work closely with development teams to understand data requirements and design appropriate
data models and schemas for various applications and services.
Implement and maintain data pipelines using Kafka for real-time data streaming and processing.
Design, implement, and optimize data warehouse solutions using Snowflake, ensuring high
performance, scalability, and reliability.
Collaborate with cross-functional teams to define data governance policies, data security
measures, and data quality standards.
Provide guidance and best practices for data management, data integration, and data access
Evaluate and recommend new technologies and tools to enhance the data architecture and
Develop and maintain documentation related to data architecture, data flows, and data
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Architect or a similar role, with a strong focus on designing and
implementing data solutions in an AWS environment.
Expertise in microservices architecture, DevOps practices, and cloud-based technologies,
particularly within the AWS ecosystem.
Hands-on experience with Kafka for building and managing data pipelines for real-time data
Proficiency in designing and implementing data warehouse solutions using Snowflake, including
performance tuning and optimization.
Strong understanding of data modeling, data integration patterns, and ETL processes.
Experience with data governance, data security, and data quality management.
Preferred Qualifications: AWS certification(s) such as AWS Certified Solutions Architect, AWS
Certified Data Analytics Specialty, or AWS Certified Big Data Specialty.
Experience with other big data and streaming technologies such as Apache Spark, Apache
Experience with data lakes, NoSQL databases, and other data management technologies.
We are looking for a dedicated and passionate individual who can drive our data architecture

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