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Be ready to discuss large-scale data management: backup and replication concepts, capacity planning, monitoring, incident response, and how systems engineering decisions affect uptime for enterprise storage and server environments. Prepare examples of cross-team work with product, support, and ops.
Strong fit if you have deep systems engineering experience with data platforms or enterprise storage-adjacent stacks and want to apply that at a major PC and infrastructure vendor. Weaker fit if you need a confirmed remote U.S. role or salary and review data before deciding—those are not in this dataset.
As a Senior Systems Engineer for UDS Data Management at Dell, expect work centered on enterprise data platforms: designing and hardening systems that store and move customer or product data, partnering with storage and infrastructure teams, and keeping reliability, capacity, and access controls in line with Dell-scale operations. Day-to-day likely includes troubleshooting data-path issues, reviewing change and capacity plans, and supporting regional (East) customers or internal product lines that depend on UDS data services.
The listing marks remote as no; it is U.S.-based with an East focus, without a more specific city in the provided data.
Dell develops and supports PCs, servers, storage, networking, software, and related services from Round Rock, Texas (Wikipedia).
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Website: dell.com
Dell Inc., formerly Dell Computer Corporation, is an American technology company that develops, sells, repairs, and supports personal computers (PCs), servers, data storage devices, network switches, software, computer peripherals including printers and webcams among other products and services. Dell is based in Round Rock, Texas.
Public cache only — not an employee review.
Dell is seeking a Senior Systems Engineer, UDS Data Management – East to join our pre-sales Systems Engineering team across the United States, where you'll shape cutting-edge data and AI solutions for our most strategic customers. If you thrive at the intersection of deep technical expertise and customer-facing consulting, this full-time role offers the chance to do career-defining work. About the Role As a Senior Systems Engineer, UDS Data Management – East at Dell, you'll deliver proactive pre-sales technical support to our field sales organization throughout the United States. Working hand-in-hand with sales professionals, you'll architect tailored Dell Technologies solutions that draw on our complete portfolio of products and services, ensuring customers receive innovative, interoperable results that solve real business challenges. Key Responsibilities Cultivate and lead trusted relationships across highly complex, strategic customer accounts Analyze customer needs and anticipate requirements that reach beyond the scope of existing solutions Develop detailed product specifications and deliver high-impact presentations on-site at customer locations Validate that sophisticated product and service configurations operate seamlessly within the customer's environment Lead advanced systems integration and apply technical expertise to design and deploy end-to-end solutions Build and run compelling demonstrations and proofs of concept with clear success criteria, timelines, and executive readouts Qualifications 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 (AWS, Azure, or GCP) and a leading data platform such as Snowflake, Databricks, Cloudera, BigQuery, Redshift, or Synapse Solid grounding in data warehousing, data lakes/lakehouse, and ETL/ELT concepts, plus strong SQL for analytical queries, performance tuning, and dimensional modeling (star/snowflake schemas, partitioning, clustering) Familiarity with vector databases (Elasticsearch, Milvus, pgvector), embedding models, RAG architectures, document processing pipelines, chunking strategies, and semantic search Experience with orchestration tooling (Airflow, dbt, Spark, Kafka), batch versus streaming patterns, and data governance (catalog, lineage, RBAC, masking, GDPR/CCPA compliance) Working knowledge of BI platforms (Tableau, Power BI, Looker, Qlik) and ML workflows using Python, notebooks, and frameworks such as scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, or LlamaIndex Proven delivery in areas…
Generated for personal interview prep · 2026-07-22 UTC · getajob.ai