Software Architect

What will your job look like

• Opportunity to work on Development and deployment of Platforms built using Azure and AWS cloud and Cloud Native Containerization tool and Technologies
• Provide leadership as Technical Lead/Data Architect, to the overall program and own specific areas
• Drive the implementation and continuous enhancement of program modules
• Lead meetings and discussions related to product / application / modules / team (for example, leading technical design reviews)
• Bring continuous improvements/efficiencies by utilizing data engineering tools and various innovative techniques and reusing existing solutions
• Lead the design and development of data products and solutions that meet business needs and align with the overall data strategy, creating complex enterprise datasets adhering to technology and data protection standards.
• Design, engineer, and orchestrate scalable, supportable, and reusable datasets, managing non-functional requirements, technical specifications, and compliance.
• Strong technical skill in Jav, Jav++, Kubernetes and cloud native components.
• Oversee enterprise solutions for various data technology patterns and platforms, collaborating with senior business stakeholders, functional analysts, and data scientists to deliver robust data solutions aligned with quality measures.
• Strong communication and presentation skills, leading collaboration with business stakeholders to deliver rapid, incremental business value/outcomes.
• Lead and participate in the planning, definition, development, and high-level design of solutions and architectural alternatives.

All you need is...

• Strong background of Hadoop and HBASE and migration experience from Hadoop/ HBASE stack to cloud native stack using AWS services.
• Possess a deep understanding of Microservices Patterns and Practices, Cloud native data analytics services stack e.g. AWS Red shift, AWS Aurora database, AWS EMR and Databricks
• Strong experience in Java and Containerization tools Like Docker, Kubernetes (EKS preferred), and hands on working experience on All AWS Cloud Services.
• Time Series databases – e.g. Victoria Metrics, Distributed systems like Apache kafka and API management Tools and Services.
• Nice to have - understanding of AI and Machine learning
• Oversee the implementation of effective data integration, ETL processes and data storage solutions in the cloud.
• Implement and adhere to security best practices in data migration and storage
• Identify and mitigate risks associated with data and analytics transformations, ensuring project success
• Excellent leadership and team management skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Demonstrated ability to analyze complex technical issues and provide innovative solutions