Senior Advisor, Data Engineering 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. 

What you’ll achieve: 

As a Senior Advisor, you will design, implement, and operate pipelines and policies that harden data platforms and improve reliability. You will enhance observability, maintain baselines and policies, and drive continuous improvement across logging, alerting, and response. You will collaborate closely with engineering peers and business teams to balance protection, performance, and user experience. 

Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Engineering team in Bangalore 

You will: 

• Advanced Data Modeling & Graph Architecture: Design and implement scalable relational, non-relational, and Graph data models (e.g., property graphs, knowledge graphs) to map complex, interconnected customer data points.
• Agentic Development & AI Integration: Build and maintain data pipelines that support Agentic AI systems, ensuring LLM agents have seamless, low-latency access to structured knowledge bases and vector stores.
• Data Integration & Automation: Architect robust ETL/ELT processes and orchestrate complex workflows using Airflow, integrating real-time streaming (Kafka) and big data frameworks (Spark).
• Collaboration & Technical Leadership: Act as a bridge between data engineering, data science, and AI teams. Mentor junior engineers and champion modern engineering best practices.
• Performance Tuning: Proactively identify performance bottlenecks in heavy Spark jobs, distributed databases, and Graph queries (e.g., Sparql), ensuring continuous optimization.

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: 

Essential Requirements 

• Core Engineering: Highly proficient in Python and advanced SQL.
• Graph Technologies: Hands-on experience with Graph databases (e.g., Neo4j, TigerGraph, or AWS Neptune) and graph query languages.
• Agentic & GenAI Exposure: Exposure to frameworks supporting autonomous agents or LLM orchestration (e.g., LangChain, LlamaIndex, CrewAI) and vector databases.
• Big Data & Streaming: Extensive experience with PySpark.
• Orchestration & DevOps: Strong experience with Apache Airflow and version control via Git.8 to 12 years of experience in data engineering, backend automation, and advanced data architecture.
• Leadership: Proven ability to lead small-to-medium project squads and mentor junior team members.

Desirable Requirements 

• Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree a plus. 
• Certifications in data engineering or cloud services. 

Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application Closing Date: 19-June-2026

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. Read the full Equal Employment Opportunity Policy here.