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Salary
≈ $25k – $46k per year (Estimated)
Location
In office (Kolkata)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 27, 2026. Tata Consultancy Services scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Solution Architect. Skills: Google Analytics, Presales. Experience: 10 - 20 Years. Qualification: Bachelor Of Engineering

Role:Data

and Analytics Architect

Exp: 10 to 20 years

Location: Pan India

Qualifications: BCA, BSC,

BE

Role Summary:

Data and Analytics Architect pursuits by advising customers on data

transformation strategies, architecting cloud-native analytics platforms, and

developing winning solutions that accelerate business value through data, AI,

and modernization.

Responsibility:

  • Engage

    with customer stakeholders to understand business objectives, data

    challenges, and transformation priorities.

  • Translate

    customer requirements into scalable and innovative GCP-based data

    solutions.

  • Must be

    well versed with using following GCP Services in designing and

    architecting Data Mod proposals - BigQuery, Dataproc, Dataflow, Cloud

    Storage, Dataplex, Pub/Sub, Cloud Composer, BigQuery ML, Vertex AI,

    Looker, BigLake, Cloud SQL, AlloyDB, Spanner

  • Support

    Proactive opportunities, RFP, RFI, and RFQ responses for Data and

    Analytics opportunities.

  • Develop

    compelling value propositions, solution na rratives, and differentiators.

Job Description:

  • Good experience

    in Data Engineering Presales with cloud data platforms

  • Proven

    experience leading GCP data modernization or migration solutions

  • Strong

    exposure to client-facing architecture or pre-sales roles

  • Ability to

    articulate business value of data modernization

  • Experience

    with estimation, cost modelling, and value-based solutioning

  • Strong

    communication skills with technical and executive stakeholders

Certifications (Preferred)

  • Google

    Cloud Professional Data Engineer

  • Google

    Cloud Professional Data Architect

  • Additional

    certifications in AI/ML or DevOps are a plus

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