Data Architect | Snowflake | AWS | Azure | Oracle | PostgreSQL

About the Role

We are looking for a highly skilled Data Architect with 10+ years of experience in designing and implementing enterprise-scale data architecture solutions. The ideal candidate should possess strong expertise in Data Modeling, Data Warehousing, Cloud Data Platforms, ETL/ELT, Snowflake, AWS, Azure, Oracle, SQL Server, PostgreSQL, and Data Governance.

If you have experience building scalable, secure, and high-performance enterprise data platforms, we’d love to hear from you.

Key Responsibilities

• Design enterprise-wide Data Architecture including conceptual, logical, and physical data models.
• Develop scalable Data Warehouse and Data Lake solutions.
• Create ER models, dimensional models, Star Schema, and Snowflake Schema.
• Design and optimize enterprise databases using Oracle, SQL Server, PostgreSQL, and NoSQL databases.
• Architect cloud-based data solutions on AWS and Microsoft Azure.
• Design and implement ETL/ELT pipelines using modern data integration tools.
• Work with Snowflake to build scalable cloud data warehouse solutions.
• Define enterprise Data Governance, Data Quality, Master Data Management (MDM), and Data Lineage frameworks.
• Optimize database performance, scalability, security, and availability.
• Collaborate with business stakeholders, data engineers, BI teams, and solution architects to deliver enterprise data solutions.
• Ensure compliance with enterprise security and data management standards.

Required Skills

Mandatory Skills

• Data Architecture
• Enterprise Data Modeling
• Snowflake
• Oracle / SQL Server / PostgreSQL
• ETL / ELT
• AWS or Azure Cloud
• Data Warehousing
• Data Governance
• Database Performance Optimization
• Data Security

Good to Have

• MongoDB or Cassandra
• Informatica PowerCenter
• Azure Data Factory (ADF)
• DBT
• Matillion
• AWS Redshift / AWS Glue / Amazon S3
• Azure Synapse Analytics
• Data Quality, Data Lineage & Master Data Management (MDM)

Preferred Qualifications

• 12+ years of experience in Data Architecture and Enterprise Data Platforms.
• Experience with cloud migration and modern data platform modernization.
• Strong understanding of enterprise integration and scalable data ecosystems.
• Excellent analytical, problem-solving, and stakeholder management skills.