Hybrid Data Architect: Scalable Warehousing & Analytics

Tata Consultancy Services; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Pension plan

Health care

Life assurance

Laptop provided

Phone provided

Training resources

Discounts within Tata network

Job summary

Tata Consultancy Services is seeking a Data Architect to design scalable data solutions and models that enable business insights. You will collaborate with Product Owners, Engineers and stakeholders to define standards and ensure alignment with enterprise data strategy.

Expertise in 3NF, Dimensional Modelling and Data Vault, plus hands-on Data Warehousing and Analytics Architecture, is essential. Cloud and ML/AI familiarity is highly desirable for guiding data-driven decisions.

Qualifications

• Proven experience as a Data Architect or Data Modeller.
• Strong knowledge of Data Architecture, Data Warehousing, Analytics Architecture.
• Hands-on data modelling with 3NF, Dimensional Modelling, Data Vault.
• Understanding of ML/AI and analytic techniques.
• Translate business needs into scalable data solutions.
• Excellent stakeholder communication and collaboration.

Responsibilities

• Triaging requirements and assessing impact on data models.
• Developing and enhancing business data models.
• Define and own data modelling within delivery teams.
• Documenting and communicating data models and standards.
• Collaborating with architecture community to promote alignment.
• Work with Product Owners, Engineers and Analysts to deliver value.

Skills

Data Architecture

Data Modelling

Data Warehousing

Analytics Architecture

3NF modelling

Dimensional Modelling

Data Vault

ML/AI basics

Cloud platforms

Stakeholder management

Communication skills

Data visualization

Tools

MicroStrategy

Power BI

Job description

Tata Consultancy Services is seeking a Data Architect to design scalable data solutions and models that enable business insights. You will collaborate with Product Owners, Engineers and stakeholders to define standards and ensure alignment with enterprise data strategy.

Expertise in 3NF, Dimensional Modelling and Data Vault, plus hands-on Data Warehousing and Analytics Architecture, is essential. Cloud and ML/AI familiarity is highly desirable for guiding data-driven decisions.