Description

Summary: We are seeking an experienced Senior Data Architect with strong expertise in Snowflake, PostgreSQL, cloud data platforms, data architecture, and performance optimization . The ideal candidate will have a strong background in designing and deploying enterprise-scale data platforms across cloud and on-premises environments. This role will focus on data architecture, schema and data modeling, database performance, automation, data governance, and enabling advanced analytics and AI/ML capabilities.

Key Responsibilities

• Design and architect large-scale data platforms using Snowflake and PostgreSQL .
• Lead database and data-platform architecture across hybrid and cloud environments.
• Develop scalable solutions for data ingestion, processing, transformation, and curation.
• Design enterprise data models, schemas, and architecture patterns for structured and unstructured data.
• Drive database and query performance optimization.
• Develop automation frameworks for provisioning, monitoring, scaling, and operational management.
• Collaborate with data engineering, application, platform, security, and analytics teams.
• Establish best practices for data governance, quality, security, compliance, and lifecycle management.
• Design high-availability, backup, disaster recovery, and multi-region strategies.
• Support modernization initiatives involving cloud-native data platforms and serverless technologies.
• Architect solutions supporting business intelligence, analytics, machine learning, and generative AI use cases.
• Design and support RAG, vector search, and AI-enabled data solutions .
• Evaluate emerging data technologies, platforms, knowledge graphs, and data-fabric capabilities.
• Provide technical leadership and mentor engineering teams.
• Communicate architectural decisions and technical strategy to senior stakeholders.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, database architecture, or a related field.
• Strong hands-on expertise with Snowflake and PostgreSQL .
• Experience with database administration, architecture, performance tuning, and query optimization.
• Strong understanding of enterprise data warehouse architecture and data modeling.
• Experience with AWS and/or Azure cloud environments.
• Strong scripting and automation skills using Python, Ansible, Terraform , or similar technologies.
• Experience designing scalable and highly available data platforms.
• Strong understanding of data governance, data quality, security, and compliance.
• Experience working with structured and unstructured data.
• Experience integrating data platforms with analytics, BI, and AI/ML solutions.
• Strong communication, problem-solving, collaboration, and leadership skills.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.

Preferred Qualifications

• Experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowpark Container Services .
• Experience with RAG, vector databases/vector search, Azure AI Search, or generative AI .
• Experience with Databricks, Apache Spark, Talend, Power BI, or Microsoft Fabric .
• Experience with knowledge graphs and modern data-fabric architectures.
• Experience with transactional data and AI/ML workloads.
• Experience in large-scale, regulated enterprise environments.
• Experience leading cloud modernization and data-platform transformation initiatives.

Required Skills
Snowflake | PostgreSQL | Data Architecture | Data Modeling | AWS/Azure | Data Warehouse | Performance Tuning | Python | Automation | Data Governance | Databricks | Spark | RAG | Vector Search | AI/ML

Key Skills

Education

Any Graduate