Solution Architect

We are seeking an experienced Data Solution Architect to lead the design and implementation of scalable, secure, and high-performing data solutions across cloud and hybrid environments. The ideal candidate will bring deep expertise in Data Engineering, APIs, Python, Spark/PySpark, and enterprise cloud platforms such as AWS and Azure. This is a strategic, client-facing role that involves working closely with stakeholders, engineering teams, and business leaders to architect and deliver robust data platforms.

Key Responsibilities:

• Architect end-to-end data solutions across cloud (AWS/Azure) and on-premises environments
  
• Develop and integrate RESTful APIs for data ingestion, transformation, and distribution
  
• Define data architecture standards, best practices, and governance frameworks
  
• Work with DevOps and cloud teams to deploy solutions using CI/CD and infrastructure-as-code
  
• Guide and mentor data engineering teams in solution implementation and performance optimization
  
• Ensure high availability, scalability, and data security compliance across platforms
  
• Collaborate with product owners and stakeholders to translate business needs into technical specifications
  
• Conduct architecture reviews, risk assessments, and solution validation

Requirements

Required Skills & Experience:

• 
  15 to 22 years of total experience in IT, with at least 5+ years in data architecture roles
  
• Strong experience in data processing frameworks and building the ETL solutions
  
• Proven expertise in designing and deploying solutions on AWS and Azure cloud platforms
  
• Hands-on experience with data integration, real-time streaming, and API-based data access
  
• Proficient in data modeling (structured, semi-structured, unstructured data)
  
• Deep understanding of data lakes, data warehouses, and modern data mesh/architecture patterns
  
• Experience with tools such as Airflow, Glue, Data bricks, Synapse, Redshift, or similar
  
• Knowledge of security, compliance, and governance practices in large-scale data platforms
  
• Strong communication, leadership, and client-facing skills

Benefits