Technical Architect - Data Transformation - IT

Responsibilities :

- Work with the teams to gather functional requirements, Understand Business Requirements/One-Liners and develop technical specifications.

- Technical evaluation and hands-on prototyping new solutions including cost analysis and lifecycle support.

- Architect, Design and Build scalable and highly available enterprise applications (Microservices based architecture)

- Responsible for the quality, performance, robustness, and scalability of the services/features implemented by the team.

- Troubleshoot complex technical issues. Identify and mitigate risks on projects.

- Provide support for the full life cycle of product development.

- Create, enhance and maintain Services (REST/GraphQL). Implement high performance, resilient and scalable services.

- Help the engineering manager to build the engineering culture (TDD, ATDD, BDD, Code Quality, Automation, Continuous Integration) within the teams.

- Provide guidance to the business teams by providing solutions, recommendations.

- Mentor junior engineers, new team members, and apply technical expertise to solve challenging programming and design problems.

- Participate in design and code reviews.

- Work with developers, automation engineers and support teams and help them improve their productivity by automating the repetitive processes.

- Work with Ops team to setup the Build Pipeline and automate deployment of platform on Public/Private Cloud Environments.

- Support the production instances by providing timely resolution of application, performance, systems and infrastructure incidents

Experience : Bachelors/Masters Degree with 12 to 15 years of experience.

Skill Requirements :

- Passionate about Technology. Excellent problem solving, hands-on engineering, and communication skills .

- Excellent interpersonal skills to negotiate with the stakeholders and coach the teams

- Experience in AWS/Azure Microservices, Kafka, Docker, Kubernetes will be an added advantage

- Strong experience in programming in Java/Scala/Python with a solid of understanding of OO Design Principles, Design Patterns, Code Quality Metrics.

- Good Understanding of Relational databases like MySQL, Postgres and NoSQL Databases like Cassandra, Neo4J, Mongo DB

- Awareness of the In-Memory Database Ecosystem (IMDB, IMDG, IMDF) and Data Lake.

- Knowledge of Metadata driven application development, code generation frameworks.