Associate Systems Engineer, Data Management

Dell Technologies • NC, NC

2d

About The Position

The Systems Engineering team provides proactive technical support to field sales professionals throughout the sales process. The team develops and implements complex products, applications, services, and solutions, delivers sales presentations and product demonstrations, and creates installation and system integration plans to meet customer needs.

This role provides pre-sales technical support to field sales teams and helps define customer solutions using company products and services. The work includes building relationships with sophisticated customer accounts, analyzing customer needs, preparing product specifications and presentations, verifying solution operability, and designing and implementing integrated solutions. The posting refers to the position as both Associate Systems Engineer and Senior Systems Engineer.

Requirements

• At least 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, such as Snowflake, Databricks, BigQuery, Redshift, Cloudera, or Synapse.
• Strong understanding of data warehousing, data lakes/lakehouses, and ETL/ELT concepts, including staging, modeling, performance tuning, and cost/performance tradeoffs.
• Experience in data engineering and integration, including processing unstructured data and transforming it into structured or vectorized formats.
• Strong SQL skills for analytical queries, performance tuning, and data modeling.
• Understanding of vector databases, embedding models, RAG architectures, document processing pipelines, chunking strategies, and semantic search patterns.
• Familiarity with data pipeline and orchestration tools and with batch and streaming patterns.
• Understanding of data governance, including catalog, lineage, security, role-based access control, masking, and compliance requirements such as GDPR/CCPA.
• Ability to design and explain analytics solutions end-to-end, from raw data to dashboards and predictive models.
• Working knowledge of BI tools and how to connect, model, and optimize them for self-service analytics.
• Familiarity with data science and machine learning workflows, including feature engineering, experimentation, model training and deployment, RAG pipeline development, and prompt engineering.
• Skilled at uncovering technical requirements, constraints, and business drivers through questioning.
• Ability to translate ambiguous business problems into clear data and analytics use cases.
• Excellent communication and storytelling skills, including explaining technical subjects to technical and non-technical audiences.
• Comfort presenting to large groups and senior stakeholders.
• Ability to understand the data and AI ecosystem and articulate differentiation among data platforms and analytics tools.
• Proven experience architecting and delivering data management, analytics, or data science solutions in at least one of these areas: cloud data warehouse or lakehouse migrations; enterprise BI modernization or self-service analytics; GenAI and RAG implementations; real-time or streaming analytics; or advanced analytics/data science enablement.
• Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms.

Nice To Haves

• Familiarity with tools and languages such as Python, Spark, notebooks, scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, and LlamaIndex, including conceptual-level familiarity with some of these technologies.

Responsibilities

• Build and lead relationships for highly sophisticated customer accounts.
• Conduct customer needs analysis and anticipate requirements beyond the scope of existing solutions.
• Prepare detailed product specifications to support sales of products and solutions, and deliver presentations at customer facilities.
• Verify that sophisticated product and service configurations operate in the customer’s environment.
• Perform systems integration and provide technical expertise to design and implement solutions.
• Provide pre-sales technical support to field sales teams and help define customer solutions using company products and services.
• Design and explain end-to-end analytics solutions, from raw data through dashboards and predictive models.
• Build and deliver customer-use-case-focused demonstrations and structure and run proofs of concept with clear success criteria, timelines, and executive readouts.
• Translate complex technical topics into business-oriented narratives for technical and non-technical audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed