Data Architect

Key Skills: AWS Cloud, Data modeling, Azure Cloud, Database Design, Data Modelling, Data Model

Roles and Responsibilities:

• Define and lead the architecture of core components within the enterprise data platform
• Design and implement scalable data models and database structures that support business requirements and analytical use cases
• Collaborate with internal teams and partners to architect and deliver Software-as-a-Service (SaaS) data solutions
• Translate stakeholder requirements into technical architecture designs that are robust, secure, and future-proof
• Design, deploy, and manage multi-tenant data processing pipelines and customizable analytical dashboards
• Conduct in-depth evaluations of emerging technologies for integration into the data ecosystem
• Ensure data solutions are scalable, highly available, secure, and optimized for performance and cost
• Implement strong testing, validation, and quality assurance measures to ensure data accuracy and integrity
• Promote and support best practices for data governance, metadata management, and compliance

Skills Required:

Must-Have:

• Strong expertise in data modeling, data architecture, and database design
• Hands-on experience with both AWS Cloud and Azure Cloud services, particularly in data-related services
• Proven ability to architect end-to-end data solutions across cloud-native environments
• Solid understanding of multi-tenant architectures, data lakes, and real-time data processing
• Experience designing scalable and maintainable systems in enterprise environments

Nice-to-Have:

• Experience with Scala or similar languages for big data processing
• Background in building SaaS-based analytics platforms
• Exposure to modern data tooling and frameworks such as Apache Spark, Kafka, Airflow, etc.

Education: Bachelor's or Master's degree in Engineering - B.E., B.Tech, M.Tech (Dual), M.Tech, or M.E. in Computer Science, Information Technology, or a related field