Principal Architect - Data & AI (f/m/d)

HCLTech Germany; München; Vor Ort; EUR 140.000 - 180.000; Vollzeit

Zusammenfassung

HCLTech Germany is seeking a Principal Architect to drive enterprise-scale data architecture, cloud transformation, and Generative AI initiatives. You will lead high-impact engagements, shape architectural strategy, and deliver scalable data solutions across platforms and AI-driven workloads.

The role requires deep hands-on expertise in modern data platforms, cloud technologies, and governance, with strong leadership and stakeholder management skills.

Qualifikationen

• Strong foundation in data architecture and governance.
• Hands-on with cloud data platforms (AWS/Azure/GCP).
• Experience with Databricks and/or Snowflake for large-scale workloads.
• Proven AI/ML development and AI agent design experience.
• Data modelling across conceptual, logical, physical layers; lakehouse architectures.

Aufgaben

• Lead enterprise-scale data architecture, cloud transformation, and Generative AI initiatives.
• Influence stakeholders and design scalable, future-ready data solutions.

Kenntnisse

Data architecture

Cloud data platforms

Databricks/Snowflake

AI/ML solutions

Data modelling

Data integration tools

Vector databases/RAG

Agent frameworks

SQL & Python

Data governance GDPR

Stakeholder management

Jobbeschreibung

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity.

This role is ideal for someone who combines strategic thinking with hands‑on expertise in:

Key Responsibilities:

We are seeking a visionary Principal Architect to lead enterprise‑scale initiatives across Data Architecture, Cloud Transformation, and Generative AI.

This is a strategic leadership role for a highly experienced technology professional who can drive innovation, influence key stakeholders, and design scalable, future‑ready solutions that address complex business challenges. The ideal candidate combines architectural leadership with deep hands‑on expertise in modern data platforms, cloud technologies, and AI‑driven solutions.

Required Skills & Experience:

• 14+ years of overall experience in data architecture, data engineering, or related roles.
• 8+ years of hands‑on experience with cloud data platforms (AWS, Azure, and/or GCP) — architecture, design, and implementation.
• Hands‑on experience with Databricks and/or Snowflake for large‑scale data engineering, analytics, and lakehouse workloads.
• Proven hands‑on experience with AI/ML solutions, including LLM‑based application development and AI agent design/development.
• Strong grounding in data modelling (conceptual, logical, physical), data warehousing, and modern lakehouse architectures.
• Experience with data integration tools/ETL‑ELT frameworks (e.g., Informatica, dbt, Talend, Glue, ADF).
• Working knowledge of vector databases (e.g., Pinecone, FAISS, pgvector) and RAG architectures.
• Experience with agent frameworks/protocols (e.g., LangChain, LangGraph, AutoGen, MCP) is highly desirable.
• Proficiency in SQL and at least one programming language (Python preferred) for prototyping and integration work.
• Solid understanding of data governance, security, and privacy/compliance requirements (e.g., GDPR).
• Strong stakeholder management, communication, and technical leadership skills.

Preferred Qualifications

• Cloud certifications (AWS/Azure/GCP Solutions Architect or Data Engineer).
• Databricks (e.g., Databricks Certified Data Engineer) and/or Snowflake (e.g., SnowPro Core) certifications.
• Experience in a specific domain relevant to the business (e.g., banking, financial services, insurance).
• Exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, SageMaker, Azure AI Studio).
• Experience presenting architecture and AI strategy to senior/executive stakeholders.

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We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.