Solutions Architect

**Solutions Architect**

**Location: Bangalore, INDIA (On-site; Full-time)**

**Main Purpose**

**Responsibilities**

**Solution Architecture and Design**
- Architect scalable and efficient cloud solutions using **AWS** services, enabling geospatial data processing, modeling, and app delivery.
- Architect and implement data pipelines to ingest, process, and analyze large datasets from various sources.
- Design and implement secure and efficient payment systems, including integration with payment gateways and fraud prevention mechanisms.
- Design and optimize database schemas, including relational databases, **(PostgreSQL)**, **NoSQL (DynamoDB) and Firebase**.
- Ensure the security and privacy of sensitive data and payment information.

**Collaboration and Integration**
- Work with geospatial data scientists to implement and optimize machine learning models, ensuring compatibility with real-world datasets and remote sensing tools.
- Partner with the data engineering team to build scalable pipelines for ingesting and transforming datasets.
- Support the frontend team in creating smooth interfaces with tools like **ReactJS**, **Material UI**, and **Bootstrap**, ensuring seamless end-user experiences.
- Mentor and guide development teams, fostering a culture of innovation and excellence.
- Collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers with the use of **GitHub**.

**Technology Leadership**
- Evaluate and recommend advanced tools, frameworks, and practices for processing, analyzing, and visualizing geospatial data at scale.
- Expertise in designing and implementing scalable and distributed systems
- Establish best practices for **API design (RESTful, GraphQL)** and cloud infrastructure deployment on AWS and Google Cloud
- Architect and implement data pipelines to ingest, process, and analyze large datasets from various sources.
- Champion innovation by exploring new technologies in geospatial analysis, machine learning, and software development.
- Strong proficiency in **Python, Node.js, ReactJS, ReactNative, Redux, TypeScript** and **JavaScript**:

- Deep understanding of database systems (**PostgreSQL, DynamoDB**)
- Strong problem-solving and analytical skills

**Project Oversight and Management**
- Translate business requirements into detailed technical solutions, ensuring scalability, reliability, and performance.
- Define technical standards, monitor development progress, and ensure timely project delivery.
- Mentor and guide engineering teams on architectural decisions and development best practices.
- Excellent communication and collaboration skills

**Qualifications & Experience**
- **Education**: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- **Experience**:

- Minimum 4 years in solution architecture or a similar role, with overall experience of 8+ years.
- Proven experience designing and implementing scalable systems involving geospatial data.
- **Technical Expertise**:

- **Cloud Platforms**: Expertise in **AWS** services and architecture design.AWS Lambda, OpenSearch, AWS Cognito, AWS RDS, AWS EC2, AWS API gateway, Firebase, AWS CloudFormation.
- **Data Engineering**: Strong experience with pipeline orchestration and spatial databases
- **Programming Languages**: Strong skills in **Python**, with familiarity in data processing libraries like **Pandas** and **NumPy**, as well as machine learning frameworks
- **App Development**: Working knowledge of **js**, **ReactJS**, **ReactNative,** **Expo,** **TypeScript** and frontend frameworks like **Material UI**, **Bootstrap**, and **Tailwind CSS**.
- **APIs**: Expertise in designing **RESTful** and **GraphQL APIs** for scalable data sharing and system integration.
- **Preferred Skills**:

- Experience with spatial-temporal analysis and large-scale dataset modeling.
- Background in designing **SDKs** for data handling.
- Proficiency in implementing monitoring systems for pipelines and APIs.
- **Competencies**:

- **Problem-Solving**: Strong analytical skills to identify issues, evaluate solutions, and implement effective resolutions in geospatial projects.
- **Communication Skills**: Ability to clearly communicate complex technical concepts to non-technical stakeholders. Effective written and verbal communication skills for documentation, reports, and presentations.
- **Teamwork and Collaboration**: Experience working in interdisciplinary teams, collaborating with other developers, data scientists, and domain experts. Ability to work well in a team environment and contribute to group objectives.
- **Adaptability and Flexibility**: Willingness to learn and adapt to new technologies and methodologies in the fast-evolving field of geospatial development. Flexibility to handle changing project requirements and priorities.
- **Project Management**: Ability to manage time effectively and handle multiple projects simultaneously. Skills in organizing tasks, s