Data Architect

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: 150603

Position Type: Full Time

Location: Hybrid (London, UK)

Primary Skill

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

Secondary Skill

Mandatory Skills

Pyspark, advance SQL, ETL , data- warehousing

Must-Have Skills

Pyspark, advance SQL, ETL , data- warehousing

Good-to-Have Skills

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.

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your

brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.