Data Architect

HCLTech; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

HCLTech is looking for a highly talented and self- motivated Data & AI Architect to join it in advancing the technological world through innovation and creativity. HCLTech Amsterdam seeks a professional to drive data strategy across cloud platforms (Azure, GCP, AWS) and lakehouse architectures, focusing on data modelling, governance, and AI/ML solution design, including LLM-based applications and AI agent patterns.

Collaboration with engineering and governance teams is essential.

Qualifications

• 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 architecture.
• 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 architecture.
• 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.
• Solid understanding of data governance, security, and privacy/compliance requirements (e.g., GDPR).
• Strong stakeholder management, communication, and technical leadership skills.

Skills

Data architecture

Cloud platforms

Databricks

Snowflake

Data modelling

AI/ML solutions

LLM-based development

Agent frameworks

SQL

Python

Data governance

Security/compliance

Stakeholder management

Tools

Databricks

Snowflake

Job description

HCLTech is looking for a highly talented and self- motivated Data & AI Architect to join it in advancing the technological world through innovation and creativity.

Job Title: Data & AI Architec

tJob ID: 15060

6Position Type: Full Tim

) Primary Ski

llData architecture , cloud ( Azure / GCP / AWS ) , Databricks / snowflake , Data modelling, exposure to agentic Ai , Gen

AISecondary Ski

,Mandatory Skil

lsPyspark, advance SQL, ETL , data- warehousi

ngMust-Have Skil

lsPyspark, advance SQL, ETL , data- warehousi

ngGood-to-Have Skil

ls Required Skills & Experi

• ence14+ years of overall experience in data architecture, data engineering, or related ro
• les.8+ years of hands-on experience with cloud data platforms (AWS, Azure, and/or GCP) — architecture, design, and implementat
• ion.Hands-on experience with Databricks and/or Snowflake for large-scale data engineering, analytics, and lakehouse worklo
• ads.Proven hands-on experience with AI/ML solutions, including LLM-based application development and AI agent design/developm
• ent.Strong grounding in data modelling (conceptual, logical, physical), data warehousing, and modern lakehouse architectu
• res.Experience with data integration tools/ETL-ELT frameworks (e.g., Informatica, dbt, Talend, Glue, A
• DF).Working knowledge of vector databases (e.g., Pinecone, FAISS, pgvector) and RAG architectu
• res.Experience with agent frameworks/protocols (e.g., LangChain, LangGraph, AutoGen, MCP) is highly desira
• ble.Proficiency in SQL and at least one programming language (Python preferred) for prototyping and integration w
• ork.Solid understanding of data governance, security, and privacy/compliance requirements (e.g., GD
• PR).Strong stakeholder management, communication, and technical leadership ski

lls Preferred Qualifica

• tionsCloud certifications (AWS/Azure/GCP Solutions Architect or Data Engin
• eer).Databricks (e.g., Databricks Certified Data Engineer) and/or Snowflake (e.g., SnowPro Core) certificat
• ions.Experience in a specific domain relevant to the business (e.g., banking, financial services, insura
• nce).Exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, SageMaker, Azure AI Stu
• dio).Experience presenting architecture and AI strategy to senior/executive stakehol