Job Description

Job Summary Key Responsibilities:
- Platform expertise: Develop an expert understanding of all the solutions that comprise our clients existing platform, as well as the current architecture and design.
- Stakeholder Engagement: Work directly with teams across the business to understand business needs for new solutions or enhancements, gather requirements, and translate them into technical solutions.
- Solution Design & Architecture: Lead the design and architecture of scalable, reliable, and secure data-driven solutions that meet client requirements and business objectives.
- Technical Leadership: Serve as a technical expert, providing guidance to both internal teams on best practices, frameworks, and technologies.
- Collaboration: Partner with product managers, engineers, and data scientists to deliver integrated solutions that align with the overall product vision and strategy.
- End-to-End Delivery: Oversee the entire solution implementation lifecycle, from initial design and planning to deployment and testing.
- Continuous Improvement: Evaluate and recommend new tools, technologies, and approaches to improve the quality, scalability, and performance of the companies solutions.
- Documentation & Training: Develop clear and comprehensive documentation for solutions, ensuring both internal stakeholders and clients have the necessary resources. Provide training as needed.
- Risk Management: Proactively identify and mitigate technical risks associated with the solution design and delivery.Required Qualifications:
- Bachelors degree in computer science, Engineering, or a related field (or equivalent work experience).Required Skills:
- 5+ years of experience as a Solution Architect, Software Architect, or similar technical role.
- Proven experience as Solution Architect on Azure tools.
- Demonstrated experience in solutions that involve software development, data engineering, and data science workflows.
- Proficiency in relevant programming languages (.Net and Python).
- Experience in working under compliance frameworks like ISO27001 and NIST.
- Experience in working with Big Data.
- Understanding of DevOps and MLOps.
- Familiarity with data processing frameworks and cloud-based data storage solutions.
- Familiarity with machine learning and AI technologies.
- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to work under pressure and tight deadlines.
- Prior experience working in a fast-growing startup or similar environment will be advantageous.Why youll love working for the company:
The company believes in taking care of the company team and creating an environment where you can thrive. As part of the company, youll enjoy:- Flexible Working Arrangements: Whether youre a night owl or an early bird, the company offers hybrid and remote options to suit your lifestyle
- Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
- Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
- Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.Recruit-ItRecruiter

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