Azure Data Warehouse Architect
Role details
Job location
Tech stack
Job description
The Data Architect supports enterprise data warehouse modernization initiatives within a large-scale public sector environment. This role focuses on designing scalable data architectures, developing enterprise data models, and implementing cloud-based data engineering solutions using Azure technologies. The position works closely with cross-functional teams to deliver high-performance, governed, and secure data solutions supporting mission-critical systems. Key Responsibilities Enterprise Data Architecture & Modeling
- Design and maintain enterprise logical and physical data models
- Support architecture across operational data stores, data warehouses, and data marts
- Develop source-to-target mappings and data transformation specifications
- Ensure data structures align with scalability requirements and modernization goals
Data Governance, Quality & Lineage
- Define and enforce data architecture standards, naming conventions, and governance processes
- Develop and maintain data lineage documentation and traceability frameworks
- Establish data quality rules and validation processes
- Ensure compliance with security, privacy, and regulatory standards
Azure Data Engineering & ETL Architecture
- Design and optimize enterprise ETL pipelines and data acquisition processes
- Develop scalable cloud data solutions using Azure Data Factory, Databricks, Synapse, and Purview
- Implement performance optimization, error handling, and recovery strategies
- Support high-availability and high-performance data environments
Database Optimization & Technical Leadership
- Provide expertise in database performance tuning, indexing strategies, and resource optimization
- Serve as a subject matter expert for data architecture, modeling, and integration patterns
- Collaborate with developers, analysts, and stakeholders to align data solutions with requirements
Documentation & Continuous Improvement
- Maintain architecture documentation, data models, mappings, and governance artifacts
- Support audit readiness and knowledge transfer initiatives
- Contribute to continuous improvement of data architecture frameworks, standards, and tools
Requirements
Do you have experience in Scalable systems?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent professional experience
- 7 or more years of experience in enterprise data architecture, ETL development, or data engineering
- 3 or more years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Purview
- Strong experience with Spark, Python, or Scala for large-scale data processing
- Advanced SQL expertise supporting complex data warehouse environments
- Strong understanding of data governance, Azure RBAC, and enterprise security protocols
- Proven experience designing scalable ETL pipelines and cloud data architectures
- Experience supporting enterprise database environments and large-scale data transformations
Preferred Qualifications
- Experience with AWS data warehouse technologies including S3 or DataSync
- Knowledge of compliance requirements including criminal justice, healthcare, or personal data regulations
- Microsoft Azure or Databricks certifications
Core Skills & Attributes
- Strong data modeling and architecture design expertise
- Ability to design scalable, high-performance data solutions
- Strong analytical and problem-solving capability
- Effective communication with technical and business stakeholders
- Attention to data quality, governance, and compliance standards
- Ability to operate in complex, regulated enterprise environments
Benefits & conditions
- Competitive salary