Data Architect – Azure

About the role

We are seeking an experienced Data Architect specialized in Azure to design, develop, and lead scalable data engineering solutions across our enterprise platforms. You will be responsible for defining architecture, building real‑time and batch pipelines, and ensuring best practices are applied throughout the organization.

Key responsibilities

• Design and implement secure, resilient data architectures for batch and streaming workloads.
• Define data engineering strategies, standards, design patterns, and best practices.
• Maintain enterprise Data Lake, Data Warehouse, Data Mesh, BI, and advanced analytics solutions.
• Develop and optimise ETL/ELT pipelines, data ingestion frameworks, and transformation workflows.
• Collaborate with business and technology stakeholders to translate requirements into technical solutions.
• Lead data platform modernisation, migration, and Data Warehouse‑to‑Data Lake initiatives.
• Ensure performance, scalability, availability, resilience, and security of data platforms.
• Build applications using Apache Spark, PySpark, Python, SQL, Hive, Databricks, and Azure Data Factory.
• Implement data quality, governance, lineage, monitoring, and security practices.
• Provide technical leadership, mentorship, and coordinate with cross‑functional teams.

Required profile

• 7–9 years of experience in Data Engineering, Big Data, or Data Architecture.
• Proven track record designing enterprise‑scale data solutions.
• Hands‑on experience with Hadoop, Data Lakes, Data Mesh, and Data Warehousing.
• Strong expertise in Azure Data Platform (ADLS, Databricks, Data Factory, Azure SQL).
• Deep knowledge of Apache Spark, PySpark, Python, and SQL.
• Experience with Hive, Kafka, Sqoop and distributed processing technologies.
• Familiarity with Java, C#, or Scala is a plus.

Required skills

• Azure Data Lake Storage (ADLS)
• Azure Databricks
• Azure Data Factory (ADF)
• Azure SQL
• Apache Spark & PySpark
• Python
• SQL
• Hive
• Kafka
• Sqoop
• Hadoop
• Java (optional)
• C# (optional)
• Scala (optional)