116 Data Architects jobs in Chennai

Req ID:    

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data & AI Technical Solution Architects to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).

Job Duties: The  Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. 

This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client’s technology infrastructure.
•    Key Responsibilities:
•    Ability and experience to have conversations with the CEO, Business owners and CTO/CDO
•    Break down intricate business challenges, devise effective solutions, and focus on client needs. 
•    Craft high level innovative solution approach for complex business problems
•    Utilize best practices and creativity to address challenges
•    Leverage market research, formulate perspectives, and communicate insights to clients
•    Establish strong client relationships
•    Interact at appropriate levels to ensure client satisfaction
•    Knowledge and Attributes:
•    Ability to focus on detail with an understanding of how it impacts the business strategically.
•    Excellent client service orientation.
•    Ability to work in high-pressure situations.
•    Ability to establish and manage processes and practices through collaboration and the understanding of business.
•    Ability to create new and repeat business for the organization.
•    Ability to contribute information on relevant vertical markets
•    Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools.

Minimum Skills Required: Academic Qualifications and Certifications:
•    BE/BTech or equivalent in Information Technology and/or Business Management or a related field.
•    Scaled Agile certification desirable.
•    Relevant consulting and technical certifications preferred, for example TOGAF.

Required Experience: 12-15 years
•    Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment.
•    Very good understanding of Data, AI, Gen AI and  Agentic AI
•    Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design.
•    Must be able to work on Data & AI RFP responses as Solution Architect
•    10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect
•    Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions.
•    Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools
•    Experience with large scale consulting and program execution engagements in AI and data
•    Seasoned multi-technology infrastructure design experience.
•    Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management.
•    Additional Job Description
Additional Job Description
Additional Career Level Description:
Knowledge and application:
•    Seasoned, experienced professional; has complete knowledge and understanding of area of specialization.
•    Uses evaluation, judgment, and interpretation to select right course of action.
Problem solving:
•    Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors.
•    Resolves and assesses a wide range of issues in creative ways and suggests variations in approach.
Interaction:
•    Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion.
•    Works

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make  accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at .  This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Req ID:    

We are currently seeking a Data & AI Technical Solution Architects to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).

Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. 

This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client’s technology infrastructure.
• Key Responsibilities:
• Ability and experience to have conversations with the CEO, Business owners and CTO/CDO
• Break down intricate business challenges, devise effective solutions, and focus on client needs. 
• Craft high level innovative solution approach for complex business problems
• Utilize best practices and creativity to address challenges
• Leverage market research, formulate perspectives, and communicate insights to clients
• Establish strong client relationships
• Interact at appropriate levels to ensure client satisfaction
• Knowledge and Attributes:
• Ability to focus on detail with an understanding of how it impacts the business strategically.
• Excellent client service orientation.
• Ability to work in high-pressure situations.
• Ability to establish and manage processes and practices through collaboration and the understanding of business.
• Ability to create new and repeat business for the organization.
• Ability to contribute information on relevant vertical markets
• Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools.

Minimum Skills Required: Academic Qualifications and Certifications:
• BE/BTech or equivalent in Information Technology and/or Business Management or a related field.
• Scaled Agile certification desirable.
• Relevant consulting and technical certifications preferred, for example TOGAF.

Required Experience: 12-15 years
• Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment.
• Very good understanding of Data, AI, Gen AI and Agentic AI
• Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design.
• Must be able to work on Data & AI RFP responses as Solution Architect
• 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect
• Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions.
• Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools
• Experience with large scale consulting and program execution engagements in AI and data
• Seasoned multi-technology infrastructure design experience.
• Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management.
• Additional Job Description
Additional Job Description
Additional Career Level Description:
Knowledge and application:
• Seasoned, experienced professional; has complete knowledge and understanding of area of specialization.
• Uses evaluation, judgment, and interpretation to select right course of action.
Problem solving:
• Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors.
• Resolves and assesses a wide range of issues in creative ways and suggests variations in approach.
Interaction:
• Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion.
• Works

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at 

We are looking for a highly skilled Clinical Data Modeling Specialist with deep expertise in the Unified Study Data Model (USDM) to support the design, development, and governance of clinical and real-world data (RWD) models. The ideal candidate will have a strong background in data information modeling, healthcare data standards, and semantic interoperability, working cross-functionally to ensure scalable and compliant data solutions.

Key Responsibilities:

• Design and develop data information models aligned with USDM for clinical trials and real-world data (RWD).
• Collaborate with cross-functional teams to define and document LinkML schemas and metadata standards.
• Perform data curation and ontology mapping to industry-standard terminologies (e.g., SNOMED CT, LOINC, MedDRA).
• Ensure semantic alignment and interoperability across diverse data sources using governance principles and best practices.
• Contribute to the evolution of enterprise data architecture by integrating USDM with standards such as CDISC (SDTM, ADaM), HL7 FHIR, and OMOP CDM.
• Support the development of tools, frameworks, and pipelines for metadata-driven data transformation and validation.

Required Qualifications:

• Proven experience in data information model development with strong command of USDM.
• Hands-on expertise with LinkML, schema documentation, and metadata modeling.
• Strong understanding of data governance frameworks, policies, and best practices.
• Experience in ontology mapping, terminology alignment, and semantic harmonization.

Preferred Skills:

• Familiarity with CDISC (SDTM, ADaM), HL7 FHIR, OMOP CDM, and other healthcare data standards.
• Domain expertise in clinical trials, real-world data (RWD), or translational research.
• Experience working in regulated environments (pharmaceuticals, CROs, or health technology sectors).
• Excellent communication, documentation, and stakeholder engagement skills.

Skills Required:ABAP CDS, SAP S4 HANA, Data ModelingSkills Preferred:Advanced Business Application Programming (ABAP) Role & responsibilities

TCS Opportunity! Solution Data Architect

Role: Solution Data Architect

Required Technical Skill: Telecom BSS Solution architecture, Hands on in designing architecture for complex projects, JIRA, Agile, TMforum ODA, Kafka, Microservices, SpringBoot

Experience Range: 10+ Years

Work Location: Chennai/Hyderabad

NOTE: If any of the skills/profile matches and are interested, please reply to this message by attaching your latest updated CV and with below few details:

**(Ex-TCSer/Already Selected for TCS please ignore this mail)

If not interested, please ignore this message and accept my apologies.

Name:

Preferred Location:

Contact Number:

Email ID:

Highest Qualification in: (Full Time Course Only)

Current Organization Name:

Total IT Experience:

Current CTC:

Expected CTC:

Notice Period:

Have you ever worked with TCS directly and indirectly:

TCS EP No. if you already have: (Not Mandatory)

PFB Job Description

Must Have:

• Telecom BSS Solution architecture, Hands on in desgning architecture for complex projects , JIRA , Agile , Tmforum
• Liaise with Business Analyst and business uses to get clarifications
• Participate in meetings with business users to get more details on the requirements
• Impact Analysis on BSS and other in-scope applications
• Highlight challenges/risks, if any, in implementing the requirements
• Discuss with the Design team to get more details on the external systems impact
• Prepare high level solution for the requirements
• Prepare the T Shirt sizing estimates with the support from developers and have the efforts approved
• Prepare high level design document
• Walk through the design document with all the stakeholders to get the sign-off from Customer
• Hand-over the signed design document to the developers to start the development
• Provide inputs/clarifications to developers (of the impacted in-scope systems)
• Review of test scenarios to ensure all changes are covered as part of testing
• Coordinate between business, development and testing teams in case of any gaps in the requirement /solution

Thanks,

Venkatesh K

TAG Recruiter at Tata Consultancy Services

Position – Data Architect

Experience: 8+ years

Position Overview

We are seeking a Data Architect who can understand enterprise data from the ground up and translate it into scalable, reliable, and dynamic designs. The ideal candidate will not only build robust data foundations but also leverage Generative AI (GenAI) and advanced data insights frameworks to unlock predictive, actionable intelligence for the enterprise.

Key Responsibilities

• Analyze and understand enterprise-wide data sources , including structured and unstructured datasets.
• Design and implement data models and architectures to support dynamic reporting, advanced analytics, and predictive capabilities.
• Architect scalable data pipelines, warehouses, and lakehouse solutions with high performance and reliability.
• Integrate GenAI solutions to generate insights, automate documentation, and enhance data accessibility across the organization.
• Define and enforce data standards, governance, security, and compliance practices enterprise-wide.
• Collaborate with business stakeholders, data engineers, AI/ML teams, and analysts to ensure alignment of solutions with business outcomes.
• Create systems to deliver real-time and batch insights , enabling dynamic dashboards, AI-driven recommendations, and predictive reporting.
• Drive data democratization by making insights consumable for both technical and non-technical teams.
• Lead data modernization efforts , including migration from legacy to modern cloud-native platforms.
• Provide technical leadership and mentorship on data, AI adoption, and architecture best practices.

Required Skills & Experience

• Strong foundation in RDBMS design, data modeling, and schema optimization .
• Advanced skills in SQL (performance tuning, complex queries, analytics functions).
• Proven experience in data warehouse, data lake, or lakehouse architectures .
• Proficiency in ETL/ELT frameworks and data integration tools (Informatica, Talend, dbt, Glue).
• Expertise in cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
• Understanding of GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI) for data generation, automation, and summarization.
• Knowledge of data governance, metadata, lineage, and enterprise data quality practices .
• Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark) .
• Familiarity with data science, AI/ML model pipelines , and insight delivery systems.
• Strong communication skills to present data insights and AI-driven recommendations clearly to executives and business leaders.

Preferred Qualifications

• 8+ years of experience in data architecture, enterprise data strategy, or data modernization programs .
• Hands-on with AI-driven analytics and GenAI adoption in enterprise environments .
• Knowledge of enterprise architecture frameworks (TOGAF, DAMA-DMBOK).
• Prior experience in enterprise applications design with any vertical like financial, healthcare or etc .

Expectation

• Design next-generation enterprise data and AI architectures.
• Exposure to cutting-edge GenAI platforms to accelerate data insights and innovation.
• Working in a collaborative environment where vision drives enterprise data strategies.
• Growth in cloud, AI-driven analytics, and predictive insights engineering.