Job Title: Technical Architect - Python / Data & AI
Location: Chennai, India
Experience Level: 12+ Years
About Straive:
Straive is a market-leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & AI Solutions, Data AI-Powered Operations, and Education & Learning form the core pillars of the company's long-term vision. The company is a specialized solutions provider to business information providers. Straive continues to be the leading content services provider to research and education publishers.
Data Analytics & AI Services: Our Data Solutions business has become critical to our client's success. We use technology and AI with human experts-in-loop to create data assets that our clients use to power their data products and their end customers workflows. As our clients expect us to become their future-fit Analytics and AI partner, they look to us for help in building data analytics and AI enterprise capabilities for them.
With a client-base scoping 30 countries worldwide, Straive's multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.
Website: [https://www.straive.com/](https://www.straive.com/)
Technical Architect
A Technical Architect (TA) at Straive plays a crucial role in designing and overseeing the technical aspects of enterprise-grade Python, Data, and AI solutions. They ensure that high-performance technical solutions align with business requirements, scale effectively, and adhere to industry standards.
Core Responsibilities
Technical Solution Design:
- Design scalable, secure, and robust Python-based architectures (microservices, distributed data processing, and enterprise APIs) that meet business requirements.
- Create architectural blueprints, system diagrams, and design documentation to communicate the technical vision.
Technology Evaluation and Selection:
- Evaluate and select appropriate Python frameworks, data platforms, and cloud tools (e.g., FastAPI, Django, PySpark, Celery, Databricks).
- Ensure chosen technologies align with organizational standards, security policies, and future scalability needs.
Managing Implementation:
- Collaborate with software and data engineering teams to ensure the successful execution of the architectural design.
- Provide hands-on guidance and technical direction to developers throughout the implementation lifecycle.
- Monitor development progress and address technical bottlenecks or deviations in a timely manner.
Technical Leadership:
- Provide technical guidance, code review standards, and mentorship to senior developers and engineering teams.
- Lead architectural discussions, technical decisions, and complex problem-solving sessions.
- Set engineering standards, design patterns, and best practices for Python development and data pipelines.
- Serve as a subject matter expert on emerging Python ecosystem trends, GenAI/LLM integrations, and modern data platforms.
System Integration:
- Design and implement integration strategies for complex Python applications, REST/GraphQL APIs, microservices, and enterprise data lakes.
- Ensure seamless data flow, low latency, and efficient communication between backend services and front-end/third-party systems.
Ensuring System Reliability & Performance:
- Establish testing frameworks, profiling strategies, and quality assurance processes to address code performance and security vulnerabilities.
- Implement best practices for system optimization, high availability, concurrency handling, and fault tolerance.
- Monitor application performance metrics (APM), database queries, and system bottlenecks to maintain optimal uptime.
Continuous Improvement & Innovation:
- Identify opportunities for automated data pipelines, process optimization, CI/CD improvements, and efficiency gains.
- Lead Proof-of-Concept (PoC) initiatives to evaluate new Python frameworks, AI/ML operationalization tools, and data engineering technologies.
Security & Compliance:
- Design and implement security measures, authentication protocols (OAuth2/JWT), and data protection standards.
- Ensure enterprise solutions comply with global security standards and policies.
Documentation:
- Maintain comprehensive technical documentation for system architecture, API specifications, and infrastructure designs.
- Keep technical documentation accessible, current, and clear for developers and business stakeholders.
Stakeholder Collaboration:
- Work closely with product managers, business analysts, data science leads, and client stakeholders to align tech solutions with business goals.
- Translate complex Python/Data architecture concepts into business value for non-technical leadership.
Risk Management:
- Identify technical risks early in the architecture phase and formulate effective mitigation strategies.
- Proactively resolve system design flaws, scalability limits, or tech debt issues.
Quality Assurance:
- Ensure solutions conform to performance benchmarks, code quality standards, and security guidelines.
- Actively participate in design reviews, critical code reviews, and validation workflows.
Additional Responsibilities
Strategic Planning:
- Contribute to Straive's internal technology roadmap, tech stack modernization, and developer skill enablement programs.
- Align Python architecture strategies with long-term technology objectives.
Innovation and R&D:
- Stay updated with the latest advancements in Python, Agentic AI/LLM deployment frameworks, cloud-native backend tools, and data engineering patterns.
- Drive innovation by prototyping modern Python frameworks and proposing execution upgrades.
Budget & Resource Management:
- Assist in infrastructure budgeting by estimating cloud resources, data storage requirements, and compute capacity.
- Ensure designed solutions are cost-effective, leveraging cloud cost optimization techniques.
Skills & Qualifications Required
- Technical Expertise: Deep experience in Python backend development (FastAPI, Django, Flask), object-oriented design, async programming, design patterns, microservices architecture, and API design.
- Experience: 12+ years of core software design and development experience, with at least 3-4 years in a Technical Architect role.
- Cloud Technologies: Extensive experience with public cloud platforms (AWS, Azure, or GCP) utilizing serverless computing, containerization (Docker, Kubernetes), and cloud-native databases.
- Data & SQL: Strong proficiency in database design, performance tuning, and complex query optimization for PostgreSQL, MySQL, NoSQL (MongoDB, DynamoDB), or Snowflake/Databricks.
- Analytical Skills: Advanced ability to analyze high-scale enterprise problems and engineer clean, modular solution architectures.
- Communication Skills: Excellent verbal and written communication skills to articulate architecture decisions to both developers and senior management.
- Leadership & Mentorship: Demonstrated ability to lead technical teams, guide code quality, and mentor senior developers.
- Problem Solving & Security: Superior problem-solving capability coupled with a solid grasp of web security (OWASP), data encryption, and identity management.
