Data Architect

Role Overview

• Define and maintain enterprise-wide data architecture, including conceptual, logical, and physical data models
• Establish data standards, architecture principles, and best practices
• Develop and evolve the organization’s data strategy aligned to business objectives
• Lead migration and modernization of on-premises Oracle platforms to OCI and Azure
• Architect scalable, resilient solutions using Azure SQL Database, SQL Server, Elastic Pools, and Cosmos DB
• Drive adoption of cloud-native and hybrid data design patterns
• Design and oversee data pipelines using Azure Data Factory and modern ETL/ELT frameworks
• Enable efficient data ingestion, transformation, and delivery across operational and analytical systems
• Ensure reusability and scalability of data services and pipelines
• Define and implement strategies for partitioning, indexing, and query optimization
• Ensure high availability, disaster recovery, and backup architectures
• Monitor and optimize performance, cost, and reliability across environments
• Establish and enforce enterprise data governance, data quality, and security frameworks
• Ensure compliance with regulatory and organizational standards
• Promote data stewardship and ownership across the organization
• Evaluate emerging technologies and recommend improvements to the data ecosystem
• Provide architectural guidance and mentorship to data engineers, DBAs, and developers
• Foster a culture of innovation and continuous improvement
• Partner with business leaders, analytics teams, and application owners to align data solutions with business needs
• Translate complex technical concepts into actionable business insights
• Support enterprise initiatives involving analytics, reporting, and AI/ML readiness

Requirements

• Bachelor’s degree required
• Master’s preferred in Computer Science, Information Systems, or related field
• 8+ years of experience in data architecture, data engineering, or database design
• Proven experience leading enterprise-scale data initiatives
• Advanced expertise in Oracle databases (performance tuning, Data Guard, RAC, high availability)
• Strong experience with Oracle Cloud Infrastructure (OCI) (Autonomous Database, storage, networking)
• Deep knowledge of Microsoft Azure data services , including: Azure SQL Database / SQL Server Elastic Pools Azure Data Factory Cosmos DB
• Expertise in relational and NoSQL data modeling techniques
• Experience with distributed and globally scalable data systems
• Experience with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, or Bicep)
• Familiarity with data lake, lakehouse, and analytics architectures
• Exposure to data platforms supporting AI/ML and advanced analytics.

Tech Stack

• Azure
• Cloud
• ETL
• NoSQL
• Oracle
• SQL
• Terraform

Benefits

• Remote work arrangements will be considered for this position