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• Min. 5 years of experience in designing and implementing large-scale data platforms
• Strong experience in relational data modelling and SQL (PostgreSQL)
• Experience in ETL/ELT tools and distributed data platforms
• Familiar with cloud data architecture (e.g. AWS data stack, data lakes)
• Strong understanding of data governance, lineage, and security
• Experience designing multi-system, integrated data architectures
• Design and govern enterprise data models and architecture
• Provide technical direction to data engineers and database teams
• Define data integration patterns, governance standards, and architecture principles
• Ensure quality and consistency of architecture deliverables (data models, flows, documentation)
• Identify and resolve data design risks and cross-system integration issues:
ROLE:
• Design and govern enterprise data models and architecture
• Provide technical direction to data engineers and database teams
• Define data integration patterns, governance standards, and architecture principles
• Ensure quality and consistency of architecture deliverables (data models, flows, documentation)
• Identify and resolve data design risks and cross-system integration issues
Job ID: 148964793
Skills:
Azure Databricks, Databricks, Aws, Cloud Technologies, Gcp, Nosql, Postgresql, Apache Kafka, Kafka, Hadoop
Skills:
PostgreSQL, Scala, Kafka, Redshift, Sql, Devops, Linux, MySQL, Spark, Data Governance, Databricks, MongoDB, Python, Aws S3, FinOps, cloud cost optimisation, CI CD, Glue
Skills:
MLops, Pyspark, Apache Spark, Databricks, Data Modeling, Azure, Python, Sql, AWS, ML model deployment
Skills:
data engineering , AI ML, Kubernetes, Data Architecture, Data Architect, Postgre Sql, Nosql, Mongo Db, Data Engineer, Rto, Rpo
Skills:
OS - Scripting, Cloud AWS, Python, Teradata, R, Hadoop-Cloudera, Data Visualization Tools, ETL ELT Tools
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