
Dell Technologies MENA
Senior Systems Engineer – Data Management
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
- Urgent
Job expiry date: 28/05/2026
Job overview
Date posted
13/04/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Job description
The Senior Systems Engineer – Data Management role in Dubai is a customer-facing pre-sales technical position within Dell Technologies focused on designing, demonstrating, and delivering advanced data management, analytics, and AI solutions for enterprise customers. The role involves providing technical leadership to field sales teams by defining end-to-end data architectures using cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, Cloudera, and Azure Synapse. The engineer is responsible for conducting detailed customer needs analysis, translating business requirements into scalable data solutions, and developing system integration plans covering data warehousing, data lakes, lakehouse architectures, and ETL/ELT pipelines. The role requires expertise in SQL, data modeling techniques including star and snowflake schemas, and performance optimization strategies such as partitioning and clustering. It also includes hands-on knowledge of unstructured data processing and transformation into structured or vectorized formats for AI use cases, including RAG architectures, embedding models, and vector databases such as Elasticsearch, Milvus, and pgvector. The position involves designing and demonstrating analytics solutions using BI tools such as Power BI, Tableau, Looker, and Qlik, as well as supporting machine learning workflows including feature engineering, model training, and deployment using tools like Python, Spark, MLflow, TensorFlow, and PyTorch. The role emphasizes pre-sales consulting, including delivering presentations, building proof-of-concepts (POCs), running demos, and articulating competitive differentiation in the data and AI ecosystem. The engineer also collaborates with senior stakeholders including CIOs and CDOs, translating complex technical concepts into business value and supporting cloud migration, analytics modernization, and generative AI initiatives across enterprise environments.
Required skills
Key responsibilities
- Provide pre-sales technical support and solution architecture for enterprise data management and AI solutions
- Design and implement end-to-end data architectures including data lakes, lakehouse, and data warehousing solutions
- Conduct customer needs analysis and translate business requirements into scalable data and analytics solutions
- Develop and deliver technical presentations, product demonstrations, and solution proposals to senior stakeholders
- Design and optimize ETL/ELT pipelines using tools such as Airflow, dbt, Spark, and Kafka
- Build and demonstrate proof-of-concept solutions for cloud data platforms and AI/ML use cases
- Support integration and deployment of data platforms including Snowflake, Databricks, BigQuery, and Redshift
- Advise on data governance, security, and compliance including RBAC, data masking, and regulatory standards
Experience & skills
- Demonstrate at least 5+ years of experience in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Data Engineer
- Possess strong hands-on experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Azure Synapse
- Show deep expertise in SQL, data warehousing, ETL/ELT, and data modeling techniques
- Demonstrate experience with data lakes, lakehouse architectures, and large-scale data integration
- Show knowledge of unstructured data processing and vector databases such as Elasticsearch, Milvus, or pgvector
- Have experience building or supporting RAG-based AI applications and generative AI solutions
- Demonstrate proficiency with BI tools such as Power BI, Tableau, Looker, or Qlik
- Possess experience with cloud platforms such as AWS, Azure, or GCP and distributed data systems
- Exhibit strong communication skills for engaging senior technical and business stakeholders