Senior Data-Driven Software Architect
2 days ago
We are seeking a highly skilled Senior Data-Driven Software Architect to join our team at Softobiz. This is a unique opportunity to lead the development of cutting-edge data-driven software solutions and drive business growth through data insights.
Job DescriptionThe ideal candidate will have 7-10 years of experience in defining technical architecture, coding, and maintaining standards. They should have good knowledge of design patterns and experience working in complex and innovative R&D development environments.
Key Responsibilities:
- Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
- Data Mining and Analyzation: Optimize and improve product development, marketing techniques, and business strategies.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Lead projects in your respective squad, guide and mentor the team as required.
To be successful in this role, you will need:
- Strong experience with Python frameworks (Django/Flask/Fast API), frontend technologies (ReactJs/NextJs/Vue.js), and database management (SQL and NoSQL).
- Knowledge of building and consuming REST APIs, cloud computing services (AWS/Azure or GCP preferred), and AWS cloud environment (Lambda, RDS, Cloud Formation, Cloud Watch, EC2, S3).
- Demonstrable robust architecture, design, development, and collaboration skills gained in developing software products and data science solutions.
- Creativity, motivation, and strong communication skills.
We offer a competitive salary range of $150,000 - $200,000 per year, depending on experience and qualifications. Additionally, we provide benefits such as health insurance, retirement plans, and opportunities for professional growth and development.
As a Senior Data-Driven Software Architect at Softobiz, you will have the opportunity to work on challenging projects, collaborate with a talented team, and drive business growth through data insights.
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