Data Solution Architect

About the Role

Key Responsibilities

• Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
  
• Define and implement data strategies, governance, and architecture best practices aligned to business needs.
  
• Architect and optimize data pipelines, ETL/ELT frameworks, and real-time data processing solutions.
  
• Provide technical leadership for building data lakes, warehouses, and advanced analytics platforms.
  
• Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable solutions.
  
• Evaluate and recommend tools, frameworks, and cloud-native services for data integration, storage, and consumption.
  
• Ensure data security, compliance, and governance practices are embedded in all solutions.
  
• Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.
  
• Act as a trusted client advisor by presenting solution designs, conducting workshops, and driving architecture discussions.
  

• 15–22 years of IT experience, with a minimum of 5+ years in data architecture roles.
  
• Strong expertise in data processing frameworks and ETL/ELT pipeline development.
  
• Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.
  
• Hands-on expertise in data integration, real-time streaming, and API-based data access.
  
• Proficiency in data modelling (structured, semi-structured, and unstructured).
  
• Deep understanding of data lakes, data warehouses, and modern data architecture patterns (data mesh, lakehouse, etc.).
  
• Experience with tools such as Apache Airflow, AWS Glue, Databricks, Azure Synapse, Redshift, or equivalent.
  
• Knowledge of data security, compliance, and governance in large-scale enterprise environments.
  
• Excellent leadership, stakeholder management, and communication skills with experience in client-facing roles.
  

Good to Have

• Exposure to AI/ML data pipelines and advanced analytics platforms.
  
• Experience in multi-cloud environments and hybrid data architectures.
  
• Knowledge of emerging trends in data observability, data fabric, and metadata management.
  

Standard Company Benefits

Why Join Us?

• Opportunity to work on cutting-edge enterprise data transformation programs.
  
• Collaborate with global clients across diverse industries.
  
• Be a thought leader and drive innovation in modern data architecture.