Data Architect

We are seeking an experienced Data Architect to design, implement, and govern enterprise data architecture that supports business intelligence, analytics, AI/ML, and operational applications. The ideal candidate will have expertise in data modeling, cloud data platforms, data integration, governance, and modern data architectures. Key Responsibilities

• Design enterprise data architecture, data models, and database solutions.
• Develop conceptual, logical, and physical data models.
• Define enterprise data standards, governance, and best practices.
• Design scalable data lakes, data warehouses, and lakehouse architectures.
• Work closely with business stakeholders, data engineers, analysts, and application teams.
• Design ETL/ELT data pipelines and integration strategies.
• Ensure data quality, security, privacy, and compliance.
• Optimize database and cloud data platform performance.
• Evaluate and recommend new technologies and architecture improvements.
• Support cloud migration and modernization initiatives.
• Establish metadata management, master data management (MDM), and data lineage.
• Mentor technical teams on architecture standards and best practices.

• Strong experience in Data Architecture
• Data Modeling (Conceptual, Logical & Physical)
• Data Warehousing
• Data Lake / Lakehouse Architecture
• SQL
• ETL/ELT Architecture
• Cloud Platforms (AWS, Azure, or GCP)
• Snowflake, Databricks, Redshift, Synapse, or BigQuery
• Data Governance
• Metadata Management
• Master Data Management (MDM)
• Data Quality Frameworks
• Database Design (Oracle, SQL Server, PostgreSQL, MySQL)
• Performance Tuning
• API & Data Integration
• Agile/Scrum methodology

Preferred Skills

• Python or Java
• Spark / PySpark
• Kafka
• Terraform
• Docker & Kubernetes
• DevOps / CI-CD
• AI/ML Data Platforms
• Data Mesh
• Data Fabric
• Informatica / Collibra / Alation
• Microsoft Purview

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Master’s degree preferred.

Experience

• 10 15+ years in Data Engineering, Data Architecture, or Enterprise Data Management.
• Experience designing enterprise-scale data platforms.
• Hands-on experience with cloud-native data solutions.
• Experience with large-scale structured and unstructured data.

Nice to Have

• TOGAF Certification
• AWS/Azure/GCP Cloud Certification
• Snowflake Certification
• Databricks Certification
• DAMA/CDMP Certification