Solution Architect

5 days ago

Thiruvananthapuram, India Nissan Full time

**The Role**:
Solution architect will own, optimize and maintain the complete end to end architecture of the project/projects. Exposure to Manufacturing, Quality, Engineering, Supply Chain, After-sales Domain would be preferred.

**Responsibilities**:
The primary responsibilities and
**must haves** of the solution architect include:

- Own and drive the architecture for a project / product.
- Must be able to design the end to end architecture for software engineering projects.
- design, modify, and test technical architecture.
- Continually research the current and emerging technologies and propose changes where needed
- Choose the right architecture that would solve the business problems
- Assess the business impact that certain technical choices have.
- Provide updates to stakeholders on product development processes, costs and budgets.
- Lead a team of technical people, mentor and guide them during the solution.
- Communicate and translate the technical solution to the team and other stakeholders
- Drive re-use initiatives and promote re-use culture within the team
- Proficient in creating flowcharts, process flows and data flow diagrams
- Develop complex modules and proof of concepts
- Lead and drive performance optimization efforts
- Define standards and guidelines for the project and ensure team is following those
- Assist in setting strategic direction for database, infrastructure and technology through necessary research and development activities
- Automation should be a key driver and the development & testing should be automated through frameworks / tools
- Monitoring performance and advising any necessary infrastructure changes through capacity planning & sizing exercises
- Work with various vendors like cloud providers and consultants to deliver the project
- Define non-functional requirements and make sure that the solution adhere to the requirements
- Define best practices of agile & DevOps while implementing solutions

Some
**good to have responsibilities** below:

- Design and implement various components of data pipeline that include data integration, storage, processing and analysis of business data
- Analyse business requirements and derive conceptual model by identifying entities and the relationship between them. Identify attributes and create logical and physical models
- Business process modelling, process flow modelling, data flow modelling skills preferable.

Skills and Qualifications:
**must have skills** sets:

- Excellent understanding of distributed computing paradigm
- Should have in depth understanding of coding languages like Java, Javascript and Python.
- Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:

- Front End/ Backend technologies: SpringBoot, React Js, Angular Js etc.
- Serverless AWS technologies like Fargate.
- AWS API technologies like API gateway and its integration with cognito.
- Containerization like Dockers and Kubernetes.
- Authentication services like Cognito. Must have knowledge on oauth1, oauth2, SAML authentication.
- Experience with s3.
- Data encryption in AWS.
- Exposure to multiple AWS components like Lambda, EC2, SQS, SNS, SES, Cloud Watch, RDS etc.
- Experience in cloud data eco-system, specifically with AWS. Must have at least the minimum working knowledge or experience with AWS managed databases like RDS, Aurora, Redshift etc
- Demonstrate strong analytical and problem-solving capability
- Good understanding of the data eco-system, both current and future data trends
- 10+ years of experience in the Solution Architect space with at least few complex software projects as an architect is mandatory

Some
**good to have skills** below:

- Good knowledge in data warehouse / data lake technology and business intelligence concepts
- Good knowledge in Relational, No-SQL, Big Data Databases and should be able to write queries
- Experience in programming languages like Scala, SQL etc.
- Data modelling - Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage
- Data integration - ETL tools like Glue, Talend and Informatica. Ingestion mechanism like Flume & Kafka
- Data visualization - Tools like Tableau
- Master data management (MDM) - Concepts and expertise in tools like Informatica & Talend MDM
- Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
- Data processing frameworks - Spark & Spark streaming
- Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required.
- Knowledge of various data modelling techniques and should be hands on with data modelling tools like Erwin, TOAD, Power Designer, etc are preferable.

Trivandrum Kerala India

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