AVP Data Engineering Lead ALDAR Properties PJSC

Job Description

Roles & Responsibilities

Desired Candidate Profile

Proven experience architecting and operating enterprise-scale data platforms and AI solutions, from ingestion to consumption, with high availability and security.

Demonstrated success taking AI and Generative AI solutions from experimentation to production, including scaling, monitoring, and continuous improvement.

Strong experience with lakehouse architectures and modern data platform patterns

Hands-on expertise with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL / distributed data stores (MongoDB, Cassandra, Cosmos DB).

Experience with cloud-native data platforms such as Azure Synapse, Snowflake, or BigQuery, with a strong preference for Azure-based ecosystems.

Practical experience designing real-time and event-driven architectures, using Kafka, Spark Structured Streaming, Event Hubs, or Flink.

Expert-level Python for data engineering, AI pipelines, and backend services.

Strong practical experience with Databricks and Azure services, including: Azure OpenAI, Azure Kubernetes Service, Azure App Services & Functions, Azure API Management etc.

Familiarity with vector databases and search platforms (Azure AI Search, Pinecone, FAISS etc.).

Experience with data orchestration and workflow management (Airflow, Azure Data Factory, N8N).

Strong understanding of CI/CD, containerization and cloud-native engineering (Docker, Kubernetes)

Ability to move seamlessly between architecture design and hands-on implementation.

Strong communication skills and ability to explain complex systems to non-technical stakeholders.

Bachelor s degree in Computer Science, Data Engineering, AI, or a related field