- Define and maintain the enterprise data architecture blueprint including data lakes warehouses marts and real-time analytics platforms
- Lead the design of scalable secure and high-performance data solutions using Azure services (Data Factory Databricks)
- Implement data governance metadata management and data quality frameworks
- Guide and implement ETL pipelines and integration patterns across structured and unstructured data sources
- Provide technical leadership in big data (Spark Hive Kafka) relational databases (SQL Server) and NoSQL platforms
- Collaborate with cross-functional teams to align data architecture with business goals
- Lead architecture reviews and ensure signoff for data-related projects in line with AIA governance standards
- Support operational data store (ODS) initiatives and real-time data requirement
- Drive innovation in data analytics machine learning and AI capabilities
Requirements
- Bachelors or Masters in Computer Science Information Systems or related field
- Minimum 8 years of experience in data architecture engineering or database management
- Expertise in Azure cloud services data modelling and ETL frameworks
- Proficiency in Python SQL and Spark
- Familiarity with enterprise architecture frameworks (e.g. TOGAF) and data governance principles
Required Skills:
Bachelors or Masters in Computer Science Information Systems or related field Minimum 8 years of experience in data architecture engineering or database management Expertise in Azure cloud services data modelling and ETL frameworks Proficiency in Python SQL and Spark Familiarity with enterprise architecture frameworks (e.g. TOGAF) and data governance principles
Define and maintain the enterprise data architecture blueprint including data lakes warehouses marts and real-time analytics platformsLead the design of scalable secure and high-performance data solutions using Azure services (Data Factory Databricks)Implement data governance metadata management and...
- Define and maintain the enterprise data architecture blueprint including data lakes warehouses marts and real-time analytics platforms
- Lead the design of scalable secure and high-performance data solutions using Azure services (Data Factory Databricks)
- Implement data governance metadata management and data quality frameworks
- Guide and implement ETL pipelines and integration patterns across structured and unstructured data sources
- Provide technical leadership in big data (Spark Hive Kafka) relational databases (SQL Server) and NoSQL platforms
- Collaborate with cross-functional teams to align data architecture with business goals
- Lead architecture reviews and ensure signoff for data-related projects in line with AIA governance standards
- Support operational data store (ODS) initiatives and real-time data requirement
- Drive innovation in data analytics machine learning and AI capabilities
Requirements
- Bachelors or Masters in Computer Science Information Systems or related field
- Minimum 8 years of experience in data architecture engineering or database management
- Expertise in Azure cloud services data modelling and ETL frameworks
- Proficiency in Python SQL and Spark
- Familiarity with enterprise architecture frameworks (e.g. TOGAF) and data governance principles
Required Skills:
Bachelors or Masters in Computer Science Information Systems or related field Minimum 8 years of experience in data architecture engineering or database management Expertise in Azure cloud services data modelling and ETL frameworks Proficiency in Python SQL and Spark Familiarity with enterprise architecture frameworks (e.g. TOGAF) and data governance principles
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