Data Engineering Leader (Azure)

• *Role:** Data Engineering Leader

• *Experience:** 17\+ years

• *Role Summary:**

Lead the organization's data engineering function and build scalable, reliable data platforms and pipelines. The role combines technical leadership, architecture, people management and stakeholder management.

• *Key Responsibilities**

• Lead and mentor Data Engineers, Senior Engineers and Data Architects.
• Design and implement scalable data platforms, data lakes and data warehouses.
• Define data engineering architecture, standards and best practices.
• Build and optimize ETL/ELT pipelines for large\-scale data.
• Work with Cloud platforms such as AWS, Azure or GCP.
• Partner with Data Science, Analytics, Product and Business teams.
• Ensure data quality, governance, security and reliability.
• Drive modernization of legacy data platforms.
• Manage technical roadmap, delivery and engineering performance.
• Evaluate and introduce new data/AI technologies.

• *Key Technical Skills**

• *Data Engineering**

• Python / Java / Scala
• SQL
• ETL/ELT
• Apache Spark
• Kafka
• Airflow

• *Cloud**

• AWS / Azure / GCP
• S3 / ADLS
• Databricks
• Snowflake
• Redshift / BigQuery

• *Data Architecture**

• Data Lake
• Data Warehouse
• Lakehouse
• Data Modelling
• Distributed Systems

• *Leadership**

• Team management
• Hiring and mentoring
• Stakeholder management
• Architecture decisions
• Project/program delivery