We are seeking a Web and Analytics Architect to design and implement scalable, high-performance web solutions and analytics architectures. The ideal candidate will have deep technical expertise in web development frameworks, data analytics platforms, and cloud technologies, and will be responsible for guiding the development of complex web systems and the integration of robust analytics solutions.

Responsibilities:

• Lead the architecture and design of complex web applications, ensuring scalability, security, and performance.

• Define and implement data-driven analytics solutions to track, monitor, and optimize web application performance and user behavior.

• Collaborate with development teams to create end-to-end solutions that include data collection, storage, and visualization.

• Design, deploy, and maintain cloud-based infrastructures (AWS, GCP, or Azure) for web and analytics applications.

• Develop and maintain data pipelines and ETL processes to collect and process large volumes of data from multiple sources.

• Ensure the integration of analytics tools like Google Analytics, Adobe Analytics, and BI platforms into web applications.

• Implement best practices for data governance, ensuring security and privacy compliance (e.g., GDPR, CCPA).

• Conduct performance analysis and optimization of web applications and databases, using monitoring and analytics data to drive continuous improvements.

• Collaborate with stakeholders to identify key business metrics and KPIs, delivering actionable insights through dashboards and reports.

Requirements:

• 5+ years of experience as a Web Architect, Solutions Architect, or similar role.

• Strong proficiency in web development technologies, including JavaScript frameworks (React, Angular, Vue.js), HTML5, CSS3, and Node.js.

• Proven experience designing and implementing scalable web architectures using RESTful APIs, GraphQL, or microservices.

• Expertise in analytics platforms (Google Analytics, Adobe Analytics, or similar) and experience building custom analytics solutions.

• Strong knowledge of SQL/NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with data warehousing.

• Hands-on experience with cloud infrastructures (AWS, GCP, Azure) and DevOps practices (CI/CD, containerization with Docker, Kubernetes).

• Experience with ETL tools and creating data pipelines using tools like Apache Kafka, Airflow, or Snowflake.

• Familiarity with data visualization tools like Tableau, Power BI, or Looker.

• Strong understanding of security best practices, particularly in web applications and data handling.

Preferred:

• Experience with machine learning models and integrating AI into web and analytics platforms.

• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and best practices for compliance.

• Certifications in cloud platforms (AWS Solutions Architect, Google Cloud Professional Architect, etc.).

Web and Analytics Architect