Solution Architect – Data Engineering

As a Solution Architect and Lead Full stack Developer, you will be responsible for designing, architecting, and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled, automated, and analytics-driven platform. You will collaborate with business stakeholders, product owners, and engineering teams to define requirements, design the technical stack, and lead development and deployment.

The ideal candidate has deep full stack engineering skills, strong cloud and data expertise, and proven experience in building enterprise-grade applications. In addition to hands-on development, you will provide technical leadership, ensure adherence to software engineering best practices, and support product lifecycle management.

Required Skills & Experience:

• Proven experience as a Full stack Developer and Solution Architect .
• Expertise in cloud data architecture (GCP or Azure).
• Strong experience in ETL design, data integration, and database management (Alteryx, SQL and NoSQL).
• Proficiency in full stack development:
  • Front-end: React, Angular, or similar frameworks.
  • Back-end: Node.js, Java, Python, or .NET.
  • Databases: PostgreSQL, BigQuery, NoSQL
• Hands-on experience in web app development and release management pipelines .
• Familiarity with data analytics and visualization tools (Qlik Sense, Power BI, Tableau).
• Familiarity with AI/ML technologies and creating API endpoints
• Experience with DevOps practices, CI/CD pipelines, and monitoring tools .
• Strong leadership in Agile/Scrum environments with JIRA or similar project management tools.
• Excellent problem-solving, architectural thinking, and communication skills

Qualifications:

• Bachelor’s or master’s degree in computer / BCA, or related field.
• 10 to 15 years of software development experience, with at least 3+ years in a lead/architect role .
• Certifications in cloud platforms (AWS/Azure/GCP) is a plus.

Key Responsibilities:

• Solution Architecture & Design
  • Define and implement cloud-native architectures for scalable and secure data platforms.
  • Design robust ETL pipelines and data integration frameworks .
  • Create and maintain application and data models , ensuring alignment with business requirements.
• Full stack Development
  • Lead the end-to-end development of web applications , from front-end interfaces to back-end services and APIs.
  • Oversee code quality, architecture reviews, and best practices in software design.
  • Drive automation in build, deployment, and release management.
• Data Analytics & Reporting
  • Build and optimize analytics and reporting dashboards for actionable insights.
  • Implement solutions for data visualization, anomaly detection, and trend analysis .
• Leadership & Collaboration
  • Act as the technical lead guiding a cross-functional team of developers, data engineers, and analysts.
  • Collaborate with Product Management to define the roadmap, technical priorities, and release strategy.
  • Actively participate in creating development workflows and sprint planning through JIRA