Dell Technologies is hiring a Senior Systems Engineer, UDS Data Management. In this role, you will operate at the intersection of technology, customer success, and business impact. You will design modern data and AI architectures, translate complex requirements into clear use cases, and shape compelling solutions that drive our customers’ data and AI transformation.
What You'll Do
- Build trusted relationships with customers and lead discovery to understand their goals, challenges, and technical needs.
- Design and validate modern cloud architectures for data, analytics, and AI/GenAI/RAG solutions.
- Create clear solution designs, proposals, and technical materials that guide customers through their Data & AI transformation.
- Deliver impactful demos and PoCs that highlight value, feasibility, and business outcomes.
- Communicate complex data and AI concepts in a simple, customer-friendly way to both technical and non-technical stakeholders.
- Evaluate modern data and AI platforms and explain how our solutions stand out in the competitive landscape.
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 leading cloud & data platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse, Cloudera) plus at least one major cloud (AWS, Azure, or GCP).
- Strong data architecture & engineering foundation: Data warehousing, data lakes/lakehouse, SQL, ETL/ELT, data modeling (star/snowflake), performance tuning, governance, and compliance (GDPR/CCPA).
- Experience with data pipelines & unstructured data: Integration, orchestration (Airflow, dbt, Spark, Kafka), batch/streaming, and processing of PDFs, logs, images, text into structured/vectorized formats.
- Familiarity with AI/GenAI & RAG concepts: Vector databases (pgvector, Elasticsearch, Milvus), embeddings, document processing, semantic search, chunking, and RAG pipeline fundamentals.
- Broad analytics & BI knowledge: BI tools (Power BI, Tableau, Looker, Qlik), self-service analytics enablement, and end-to-end solution design from raw data to dashboards and models.
- Strong customer-facing communication & storytelling: Ability to explain complex topics clearly to technical/non-technical audiences; delivering presentations to senior stakeholders (CIO/CDO).
- Discovery, requirements analysis & POC excellence: Skilled at uncovering business drivers, structuring PoCs, defining success criteria, and demonstrating solutions that showcase customer value.
- Track record delivering modern Data & AI solutions: Experience in cloud DWH/lakehouse migrations, BI modernization, GenAI/RAG implementations, streaming analytics, or advanced analytics programs.
Nice to Have
- Hands-on experience with ML/AI workflows & tools: Feature engineering, model development, notebooks, Python, Spark, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex.
- Ability to translate ambiguous business problems into clear data, analytics, or AI use cases with measurable value.
- Understanding of competitive Data & AI landscapes: Ability to articulate differentiation across platforms (data warehouses, lakehouses, analytics tools, AI ecosystems).
Technical Stack
- Data Platforms: Snowflake, Databricks, BigQuery, Redshift, Synapse, Cloudera
- Cloud: AWS, Azure, GCP
- Core Skills: SQL, ETL/ELT
- Orchestration & Pipelines: Airflow, dbt, Spark, Kafka
- Vector Databases: pgvector, Elasticsearch, Milvus
- BI Tools: Power BI, Tableau, Looker, Qlik
- AI/ML Tools: Python, MLflow, TensorFlow, PyTorch, LangChain, LlamaIndex
Team & Environment
You will be part of our Systems Engineering Team.
Work Mode
This position follows a local-country work mode and is based in Germany.
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.
