Software Engineering Lead

• Collaborate with stakeholders to understand business requirements and design data integration solutions that align with the overall software architecture. Identify appropriate data integration patterns, technologies, and tools to meet the project goals.
  
• Define the system architecture and data integration strategy based on scalability, performance, reliability, and security requirements. Create architectural diagrams, system blueprints, and technical specifications to guide the development team.
  
• Research and evaluate newer technologies, frameworks, and platforms to identify the most suitable tools for the project. Stay up to date with emerging trends and best practices in data integration and propose innovative solutions.
  
• Lead and contribute to the software implementations by working closely with development teams. Provide technical guidance and ensure adherence to architectural standards, coding conventions, and best practices. Collaborate with data engineers, developers, and other stakeholders to resolve technical challenges.
  
• Ensure data privacy, security, and compliance standards are met. Implement encryption, authentication, and authorization mechanisms as required.
  
• Develop and execute comprehensive testing strategies. Collaborate with quality assurance teams to define test cases, perform integration testing, and resolve any defects or issues identified.

Requirements

• Should have 8+ years of working experience.
  
• Bachelors or masters degree in computer science, software engineering, or a related field.
  
• Proven experience as a software architect/lead, with a focus on AWS and building data integrations and third party integrations.
  
• Strong knowledge of data integration patterns, techniques, and technologies such as ETL/ELT, message queues, APIs, data virtualization, and data synchronization.
  
• Proficiency in programming languages like Java, Python (with more focus on Python).
  
• Solid understanding of AWS services and architecture, including but not limited to Lambda, S3, DynamoDB, SQS, SNS, Kinesis, IAM, and CloudWatch.
  
• Understanding of Serverless and Micro-Services architectural patterns with strong understanding of container-based technologies like Kubernetes, etc.
  
• Excellent problem-solving and analytical skills.
  
• Strong communication and collaboration abilities to work effectively with cross-functional teams.
  
• Familiarity with agile software development methodologies.