About the Role:
We are looking for an experienced Solution Architect with over 10 years of expertise in designing and implementing large-scale enterprise solutions. The ideal candidate will have strong experience in AWS cloud architecture , data engineering platforms , and Generative AI solution design. You will play a key role in bridging business objectives with advanced technology capabilities, ensuring robust, scalable, and innovative solutions.
Key Responsibilities
Solution Architecture & Design
- Design and architect end-to-end cloud-native solutions on AWS ensuring scalability, performance, and security.
- Develop data-driven architectures leveraging Databricks, Delta Lake, and Apache Spark for advanced analytics and AI workloads.
- Architect and deliver Generative AI (GenAI) solutions integrating LLMs, prompt engineering, vector databases, and AI model pipelines.
- Define and implement best practices for solution integration, data flow, and API management.
Technical Leadership
- Lead cross-functional teams in designing and implementing modern data and AI solutions.
- Define and enforce architectural standards, governance, and technology roadmaps.
- Mentor technical teams on cloud, data, and AI architecture patterns and emerging technologies.
Collaboration & Stakeholder Management
- Work closely with business leaders, product owners, and data scientists to translate business goals into scalable technical solutions.
- Partner with cloud vendors, data engineers, and AI experts to drive architecture excellence.
- Participate in pre-sales engagements by creating solution blueprints, proposals, and technical presentations.
Delivery Oversight
- Oversee the implementation of AWS-based architectures including compute, storage, and networking components.
- Ensure smooth integration between Databricks, data lakes, APIs, and downstream systems.
- Evaluate and optimize system performance, cost efficiency, and data security.
Innovation & Continuous Improvement
- Stay up to date with advancements in cloud computing, data platforms, AI/ML, and GenAI technologies.
- Evaluate new AWS and Databricks features for potential adoption in enterprise solutions.
- Lead proof-of-concepts (POCs) for emerging AI-driven solutions.
Ideal Candidate Profile
- Bachelor s or master s degree in computer science, Information Technology, Engineering, or related field.
- 10+ years of professional experience in software architecture, cloud solutions, and data systems.
- Strong expertise in AWS architecture (EC2, S3, Lambda, ECS/EKS, API Gateway, IAM, CloudFormation/Terraform).
- Proven experience designing and implementing data solutions on Databricks (Spark, Delta Lake, MLflow).
- Hands-on experience with Generative AI solutions using LLMs (e.g., OpenAI, Anthropic, Hugging Face, Amazon Bedrock).
- Deep understanding of data pipelines, AI integration, vector databases, and MLOps workflows.
- Strong knowledge of security, scalability, and cost-optimization best practices in cloud environments.
- Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
- Certifications such as AWS Certified Solutions Architect Professional, Databricks Certified Data Engineer, or TOGAF.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.).
- Experience in pre-sales or customer-facing architecture roles.
- Exposure to data governance, AI ethics, and responsible AI principles.