Data Architect

Data Architect

The Data Architect is responsible for designing and delivering the organization’s data infrastructure, including operational source systems, analytical platforms, data movement technology, and architectural standards. The role balances technical excellence with business needs to deliver reliable, secure, and highly available solutions in a hybrid cloud environment.

• Develop and maintain conceptual, logical, and physical data models.
• Design scalable, end-to-end enterprise data architectures that support current and future business needs.
• Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services.
• Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems.
• Integrate diverse data sources across the enterprise using standardized patterns and frameworks.
• Establish, document, socialize, and enforce development, modeling, and architectural design standards.
• Implement data quality metrics, monitoring capabilities, and issue resolution processes in partnership with Data Governance.
• Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance.
• Create and maintain clear documentation of architectural decisions, standards, and patterns.
• Implement data protection strategies, including access controls and data privacy measures.
• Ensure data architectures align with regulatory requirements and internal compliance standards.
• Evaluate and recommend emerging technologies to improve data management and platform capabilities.
• Architect and optimize cloud-native solutions leveraging Microsoft Azure services.
• Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions.
• Support scalability, performance tuning, and cost optimization of data platforms.
• Build strong relationships with business and technical stakeholders to understand evolving needs and translate them into architectural solutions.
• Collaborate with Dev Ops, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions.
• Serve as a technical thought leader influencing multi-year data strategy and platform decisions.
• Mentor team members and promote best practices across the data organization.
• Partner with other architects to ensure enterprise alignment with data standards and architectural principles.

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 7+ years of experience in data architecture, database design, or related roles.
• In‑depth knowledge of cloud‑based data architectures, transactional and analytical systems, data modeling, data integration tools, and business intelligence concepts.
• Experience with both SQL and No
  
  SQL database technologies.
• Proven experience designing and implementing enterprise‑scale data warehouses and data lakes.
• Demonstrated expertise with Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage, and Salesforce.
• Experience with Salesforce data models and Salesforce Data Cloud.
• Experience leading modernization, migration, and cloud transformation initiatives.
• Advanced SQL certifications and/or ITIL knowledge are a plus.

• Strategic thinking with the ability to drive enterprise‑level architectural decisions.
• Ability to communicate complex technical concepts to non‑technical stakeholders.
• Strong problem‑solving skills, with the ability to balance technical and business trade‑offs.
• Excellent collaboration and influence skills across technical and business teams.
• Ability to navigate differing viewpoints and achieve consensus.
• Adaptability to changing technologies, business priorities, and data needs.
• Strong learning mindset, particularly around cloud, AI/ML, and emerging technologies.
• Effective facilitation and consensus‑building capabilities.

• Microsoft SQL Server (SSIS, SSAS, Service Broker)
• Azure (Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure Dev Ops)
• Databricks
• Salesforce (Sales Cloud, Service Cloud, Data Cloud)
• Pytho…