Job Description
Job Purpose: The Data Architect is responsible for defining, designing, and governing the enterprise data architecture that supports the organization's data modernization, analytics, and digital transformation initiatives. The role ensures the delivery of scalable, secure, and compliant data platforms, including data warehouses, lakehouse architectures, real-time streaming ecosystems, and data governance frameworks, enabling trusted data-driven decision-making across the enterprise. Key Accountabilities: - Define and maintain the enterprise data architecture strategy, standards, principles, and target-state architecture. - Design and implement scalable data warehouse, data lake, and lakehouse architectures across on-premises and cloud platforms. - Lead conceptual, logical, and physical data modeling activities using industry-standard methodologies. - Design batch and real-time data integration architectures to support operational and analytical workloads. - Architect streaming and event-driven data platforms using technologies such as Apache Kafka and Change Data Capture (CDC) solutions. - Define standards for data governance, master data management, metadata management, data lineage, and data quality. - Ensure compliance with data security, privacy, regulatory, and data residency requirements, including banking and regulatory standards. - Evaluate emerging technologies, platforms, and architectural patterns to support business and technology objectives. - Collaborate with business stakeholders, data engineers, solution architects, and technology teams to define enterprise data solutions. - Produce architecture blueprints, standards, solution designs, roadmaps, and technical decision documentation. - Review solution designs and technical implementations to ensure alignment with enterprise architecture standards. - Support data modernization, cloud migration, and analytics transformation initiatives. - Mentor technical teams and provide guidance on architecture best practices and implementation approaches. - Contribute to continuous improvement initiatives related to data management, analytics, and enterprise architecture. Minimum Qualifications: - Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related discipline. - Professional certifications such as TOGAF, Cloudera, Google Cloud, Microsoft Azure, Data Architecture, or equivalent. Minimum Experience: - +8 years of experience in Data Engineering, Data Architecture, Analytics Platforms, or Enterprise Data Management. - Proven experience designing and delivering enterprise-scale data warehouse and lakehouse solutions. - Hands-on experience defining enterprise data architecture strategies and governance frameworks. - Experience designing real-time and batch-based integration architectures. Job-Specific Skills: - Enterprise Data Architecture. - Data Warehouse Architecture and Design. - Lakehouse Architecture. - Data Lakes and Modern Data Platforms. - Cloudera Data Platform. - Microsoft Azure and Google Cloud Platform (GCP). - Conceptual, Logical, and Physical Data Modeling. - Dimensional Modeling. - Data Vault Modeling. - Data Integration and ETL/ELT Architecture. - Real-Time Data Processing. - Apache Kafka and Event-Driven Architectures. - Change Data Capture (CDC) and Debezium. - Data Governance Frameworks. - Metadata Management and Data Lineage. - Data Quality Management. - Master Data Management (MDM). - Data Security and Privacy Architecture. - Regulatory Compliance and Data Residency Requirements. - Banking and Financial Services Data Architecture.
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