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Salary
≈ $60k – $154k per year (Estimated)
Location
In office (Coventry)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 18, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

We are looking for a Senior Technical Specialist with a focus on Data & Analytics Solutions You’ll play a key role in defining how data is designed, governed and used across the organisation, sitting within the Data & AI function, you’ll be responsible for creating high-quality technical designs, standards and patterns that underpin our data platforms and analytics solutions. This is a senior technical role where you’ll operate as a subject matter expert across data, analytics and AI platforms, ensuring solutions are aligned to enterprise architecture strategy and deliver maximum value to the business. You’ll work closely with architects, platform teams and business stakeholders to shape the Data & AI roadmap, ensuring projects platforms are secure, scalable and optimised for both operational and analytical insights. Why you'll love this role: This role combines technical depth, strategic influence and cross-organisational impact. Technical Leadership - Act as a subject matter expert across data, analytics and AI platforms, influencing design standards and best practice. End-to-End Solution Design - Lead the creation of high-level and low-level designs for data and analytics solutions across the organisation. Strategic Influence - Contribute to the Data & AI roadmap, shaping future architecture and platform maturity. Modern Data Technologies - Work across platforms such as SAP Datasphere, Databricks, AWS and leading BI tools. Governance & Standards - Ensure solutions align with enterprise architecture, data principles, regulatory standards and security requirements. Cross-Functional Collaboration - Partner with architects, engineers, programme teams and business stakeholders to deliver value-driven solutions. What you'll bring: Data & Analytics Expertise Deep technical knowledge across data platforms, analytics tools and AI solutions Experience designing data-driven solutions in enterprise environments Architecture & Design Skills Proven experience creating HLDs and LLDs for complex systems Strong understanding of data architecture, modelling, governance and lifecycle management Technical Platform Knowledge Expertise in platforms such as: SAP BTP and Datasphere Databricks and big data solutions AWS native data stack Visualisation tools (Power BI, Tableau, SAP Analytics Cloud) Experience with data governance and management tools (e.g. Informatica) Leadership & Influence Ability to act as a technical authority and provide guidance across the organisation Strong stakeholder management and influencing skills Analytical & Problem-Solving Skills Ability to translate complex technical concepts into business-focused outcomes Strong understanding of system reliability, performance and optimisation Qualifications & Experience Degree in Data Management, Computer Science or related discipline Extensive experience in senior technical or architecture roles within complex organisations Experience working in ITIL-aligned environments and supporting mission-critical systems Scalable ingestion patterns, Delta Lake optimisation, and production-grade pipeline design. Strong capability in Medallion architecture (or equivalent layered data-platform design). Working knowledge of SAP S/4HANA and the wider SAP ecosystem is highly desirable for cross-platform integration. Knowledge in cloud platform engineering; CI/CD, API integra

Key Responsibilities

This role combines technical depth, strategic influence and cross-organisational impact.

Technical Leadership - Act as a subject matter expert across data, analytics and AI platforms, influencing design standards and best practice.

End-to-End Solution Design - Lead the creation of high-level and low-level designs for data and analytics solutions across the organisation.

Strategic Influence - Contribute to the Data & AI roadmap, shaping future architecture and platform maturity.

Modern Data Technologies - Work across platforms such as SAP Datasphere, Databricks, AWS and leading BI tools.

Governance & Standards - Ensure solutions align with enterprise architecture, data principles, regulatory standards and security requirements.

Cross-Functional Collaboration - Partner with architects, engineers, programme teams and business stakeholders to deliver value-driven solutions.

Skill Requirements

What you'll bring:

Data & Analytics Expertise

Deep technical knowledge across data platforms, analytics tools and AI solutions

Experience designing data-driven solutions in enterprise environments

Architecture & Design Skills

Proven experience creating HLDs and LLDs for complex systems

Strong understanding of data architecture, modelling, governance and lifecycle management

Technical Platform Knowledge

Expertise in platforms such as:

SAP BTP and Datasphere

Databricks and big data solutions

AWS native data stack

Visualisation tools (Power BI, Tableau, SAP Analytics Cloud)

Experience with data governance and management tools (e.g. Informatica)

Leadership & Influence

Ability to act as a technical authority and provide guidance across the organisation

Strong stakeholder management and influencing skills

Analytical & Problem-Solving Skills

Ability to translate complex technical concepts into business-focused outcomes

Strong understanding of system reliability, performance and optimisation

Qualifications & Experience

Degree in Data Management, Computer Science or related discipline

Extensive experience in senior technical or architecture roles within complex organisations

Experience working in ITIL-aligned environments and supporting mission-critical systems

Scalable ingestion patterns, Delta Lake optimisation, and production-grade pipeline design.

Strong capability in Medallion architecture (or equivalent layered data-platform design).

Working knowledge of SAP S/4HANA and the wider SAP ecosystem is highly desirable for cross-platform integration.

Knowledge in cloud platform engineering; CI/CD, API integrations, monitoring, security patterns, and operational resilience.

Other Requirements

What you'll bring:

Data & Analytics Expertise

Deep technical knowledge across data platforms, analytics tools and AI solutions

Experience designing data-driven solutions in enterprise environments

Architecture & Design Skills

Proven experience creating HLDs and LLDs for complex systems

Strong understanding of data architecture, modelling, governance and lifecycle management

Technical Platform Knowledge

Expertise in platforms such as:

SAP BTP and Datasphere

Databricks and big data solutions

AWS native data stack

Visualisation tools (Power BI, Tableau, SAP Analytics Cloud)

Experience with data governance and management tools (e.g. Informatica)

Leadership & Influence

Ability to act as a technical authority and provide guidance across the organisation

Strong stakeholder management and influencing skills

Analytical & Problem-Solving Skills

Ability to translate complex technical concepts into business-focused outcomes

Strong understanding of system reliability, performance and optimisation

Qualifications & Experience

Degree in Data Management, Computer Science or related discipline

Extensive experience in senior technical or architecture roles within complex organisations

Experience working in ITIL-aligned environments and supporting mission-critical systems

Scalable ingestion patterns, Delta Lake optimisation, and production-grade pipeline design.

Strong capability in Medallion architecture (or equivalent layered data-platform design).

Working knowledge of SAP S/4HANA and the wider SAP ecosystem is highly desirable for cross-platform integration.

Knowledge in cloud platform engineering; CI/CD, API integrations, monitoring, security patterns, and operational resilience.

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