Virtusa
Senior Architect
Job Description
As a Technical Data Architect, you will play a critical role in shaping our data infrastructure, ensuring its efficiency, scalability, and :
Design and implement data architecture strategies that support the customer's data-driven initiatives.
Should have ownership of solution design that meets the objectives.
Develop and maintain cloud-based data solutions, leveraging platforms such as AWS, Azure, or GCP.
Create and manage ETL processes to move and transform data from various sources into a structured format for analysis.
Work with analysts to understand data sources, and attributes, and devise mechanisms for ETL.
Build and maintain scalable big data architectures that can handle vast amounts of data while ensuring performance and reliability. Oversee development is in line with the design.
Design and optimize databases to handle analytical workloads, ensuring data availability and performance
Utilize /Python stacks for data processing, analytics, and reporting.
Implement, manage, and optimize ETL platforms, ensuring data integration and transformation processes are efficient and error-free.
Implement data security measures to protect sensitive information, ensuring compliance with relevant regulations.
Establish and enforce data governance practices to ensure data quality, integrity, and compliance with data standards.
Create and maintain documentation for data architecture, ETL processes, and data flows.
Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand and address data requirements.
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
With more than 10+ years of proven experience as a Data Architect with expertise in cloud architectures, ETL, and big data solutions.
Proficiency Python stacks.
Strong experience with ETL platforms and tools like Redshift, snowflakes etc..
Hands on Experience in cloud technologies like GCP or AWS
Knowledge of data modeling, database design, and performance optimization.
Excellent problem-solving and communication skills.
Strong project management and leadership abilities.
Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer) are a plus
Data Warehouse Architecture and implementing data pipelines to aggregate data from multiple sources, building data lakes and transformation strategies would be key
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