This is a remote position. We are looking for an experienced Data Architect to design, build, and modernize enterprise-scale data platforms that power analytics, Artificial Intelligence (AI), Machine Learning (ML), and mission-critical business applications. The ideal candidate will have extensive experience in architecting secure, scalable, and high-performance cloud-based data ecosystems within SaaS or Product-based environments. This role requires close collaboration with Engineering, Product, Data Science, and DevOps teams to deliver robust, future-ready data solutions. Key Responsibilities • Design scalable, secure, and highly available enterprise data architectures. • Architect, implement, and optimize databases including PostgreSQL, MongoDB, Elasticsearch, and Graph Databases. • Lead database modernization, migration, and transformation initiatives across enterprise platforms. • Build and manage cloud-native data platforms using Snowflake, Amazon Redshift, Databricks, and AWS, Azure, or GCP. • Define enterprise data models, governance frameworks, security standards, and data lifecycle management practices. • Optimize database performance, scalability, replication, backup, disaster recovery, and high availability. • Design data platforms that support Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Large Language Model (LLM) workloads. • Collaborate with Engineering, Product, Data Science, and DevOps teams to deliver scalable and reliable data solutions. • Establish best practices for data architecture, database design, performance optimization, and security. • Ensure compliance with enterprise data governance, regulatory, and security requirements. • Evaluate emerging data technologies and recommend improvements to the organization's data ecosystem. Key Skills & Qualifications • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. • 10+ years of experience in Data Architecture, Database Engineering, or related roles. • Strong expertise in PostgreSQL, MongoDB, Elasticsearch, and Graph Databases. • Hands-on experience with Snowflake, Amazon Redshift, Databricks, and cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). • Proven experience in enterprise-scale database migration, modernization, architecture design, and performance tuning. • Strong knowledge of data modeling, distributed database systems, governance, security, compliance, and data lifecycle management. • Experience building data platforms that support AI, Machine Learning, Generative AI, and Large Language Model (LLM) applications is highly desirable. • Strong understanding of cloud-native architecture, data warehousing, and big data technologies. • Excellent analytical, troubleshooting, communication, and stakeholder management skills. • Cloud, database, or data architecture certifications are an added advantage. Apply by sending your CV to [email protected]