Dell Technologies is hiring a Senior Systems Engineer, UDS Data Management to provide pre-sales technical support and define Dell Technologies solutions for sophisticated customer accounts. This Central Region-focused role specializes in data management, analytics, and AI, leveraging the full range of company products and services.
What You'll Do
- Build and lead relationships for highly sophisticated customer accounts.
- Conduct customer needs analysis and anticipate requirements beyond the existing solution’s scope.
- Prepare detailed product specifications to enable the sale of products and solutions, and 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 (staging, modeling, performance tuning, cost/perf tradeoffs).
- Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
- Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms.
- Proven experience architecting and delivering data management, analytics, or data science solutions in areas like cloud data warehouse migrations, enterprise BI modernization, GenAI and RAG implementations, real-time analytics, or advanced analytics enablement.
Technical Stack
- Cloud data platforms: Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
- SQL, Data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools)
- Vector databases (e.g., Elasticsearch, Milvus, pgvector)
- BI tools (e.g., Tableau, Power BI, Looker, Qlik)
- Python, ML frameworks (e.g., 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
- Compensation range of $204,850 - $265,100.
Work Mode
This is a local-country role based in the Central 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.
