Dell Technologies is hiring a Senior Systems Engineer, UDS Data Management to provide pre-sales technical support to our field sales teams in the West Region of the US. In this role, you will define and design Dell Technologies solutions for sophisticated customer accounts, with a focus on data management, analytics, and AI.
What You'll Do
- Provide pre-sales technical support to field sales teams.
- Build and lead relationships for highly sophisticated customer accounts.
- Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope.
- Prepare detailed product specifications to enable the sale of products and solutions.
- Deliver impact presentations at customer facilities.
- Verify operability of sophisticated product and service configurations within the customer’s environment.
- Perform advanced systems integration and provide technical expertise to design and implement the solution.
What We're Looking For
- 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
- Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).
- Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts.
- Data engineering and integration including unstructured data processing and transformation.
- Strong SQL skills for analytical queries, performance tuning, and data modeling.
- Understanding of vector databases, embedding models, and RAG architectures.
- Familiarity with data pipeline and orchestration tools and batch vs. streaming patterns.
- Understanding of data governance.
- Ability to design and explain analytics solutions end-to-end.
- Working knowledge of BI tools.
- Familiarity with data science and ML workflows and tools/languages.
- Proven experience architecting and delivering data management, analytics, or data science solutions in areas like cloud data migrations, enterprise BI modernization, GenAI and RAG implementations, real-time analytics, or advanced analytics.
- Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms.
Technical Stack
- Cloud Data Platforms: Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
- SQL, Vector databases (Elasticsearch, Milvus, pgvector)
- Data Pipeline Tools: Airflow, dbt, Spark, Kafka
- BI Tools: Tableau, Power BI, Looker, Qlik
- Python, ML frameworks (scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex)
- Public Clouds: AWS, Azure, GCP
Team & Environment
You will be part of the Systems Engineering Team.
Benefits & Compensation
- Total Target Compensation: $204,850 - $265,100 (includes base salary and potential commissions)
Work Mode
This role is local-country in the West Region of the US.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
