Tech Lead / Lead Solution Architect
Role details
Job location
Tech stack
Job description
We are looking for a hands-on Tech Lead / Lead Solution Architect to lead the design and implementation of a next-generation data and AI-enabled analytics platform. The role will be responsible for defining the end-to-end technical architecture across AWS, Data Lake, ETL, GenAI, APIs, Full-Stack applications, DevOps, and data analytics.
The candidate should be equally comfortable in architecture discussions with business and technical stakeholders and in hands-on technical implementation and POCs., * Define the end-to-end target architecture for the CDL, CWS, GenAI, data, and analytics ecosystem.
- Assess current CDL architecture, ETL pipelines, data sources, and existing technology landscape.
- Design scalable AWS cloud-native architecture covering:
oData ingestion and processing
oData Lake / CDL
oAPIs and microservices
oGenAI and LLM integration
oFull-stack applications
oDevOps and CI/CD
- Design the architecture for enabling ad hoc data analysis and business question answering.
- Define the architecture for transitioning successful CWS/ad hoc solutions into standardized production pipelines.
- Establish technical standards for security, scalability, performance, observability, governance, and cost optimization.
- Lead technical POCs and architecture validation.
- Work closely with GenAI, Data, Full-Stack, and DevOps engineers.
- Review code and technical implementations and ensure alignment with architectural standards.
- Provide hands-on contribution to critical components and technical challenges.
- Evaluate and recommend appropriate AWS and open-source technologies.
- Lead architecture reviews and communicate technical decisions to stakeholders., Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
Requirements
- 12+ years in software engineering and solution architecture.
- Strong hands-on experience in AWS Cloud.
- Strong knowledge of Data Lake, ETL/ELT, APIs, microservices, and cloud-native architecture.
- Experience with GenAI, LLM, RAG, or Agentic AI architectures.
- Strong programming experience in Python, Java, .NET, or similar.
- Strong understanding of SQL and data architecture.
- Experience with CI/CD and DevOps practices.
- Experience designing enterprise-grade scalable applications.
- Strong communication and technical leadership skills.
Preferred
- AWS certifications such as Solutions Architect / DevOps Engineer.
- Experience with Amazon Bedrock or similar GenAI platforms.
- Experience with Terraform and Infrastructure as Code.
- Experience with enterprise data governance and security.