Data Architect

HCLTech; Stockholms kommun; On-site; SEK 1,200,000 - 1,600,000; Full time

Job summary

HCLTech is seeking a highly talented Data & AI Architect to advance innovative data solutions at scale. This role requires deep expertise in data architecture, cloud platforms (Azure, AWS, GCP), and modern lakehouse technologies.

You will work on Databricks and Snowflake data engineering, AI/ML solutions, and governance, partnering with stakeholders to deliver robust, scalable data ecosystems. Proficiency in Python and SQL is preferred, with a track record of leading technical initiatives.

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 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.

Skills

Data architecture

Cloud platforms

Databricks

Snowflake

Data modelling

Agentic AI

GenAI

Tools

Databricks

Snowflake

Informatica

dbt

Talend

Glue

ADF

Pinecone

FAISS

pgvector

LangChain

LangGraph

AutoGen

MCP

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 Architect

Job ID: 1506126

Position Type: Full Tid)

Primary Skill

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

Secondary Skill

Secondary Skill

Mandatory Skill

Pyspark, advance SQL, ETL , data- warehouse

Must-Have Skills

Pyspark, advance SQL, ETL , data- warehousing

Good-to-Have Skill

Good-to-Have Skill

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.