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Architect - Digital solutions

Tata Consultancy Services

2 - 5 years

Pune

Posted: 04/01/2026

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Job Description

Role: Architect - Digital solutions

Experience: 15+years

Location: Pune

Required Technical Skill Set:

  • Hands on experience in Application and data architecture, enterprise systems, cloud technologies, front and back end technologies.
  • Development, migration & support of large Web/ desktop/ Cloud based application (.Net, Java, Angular)
  • Experience of IoT based application development


Desired Competencies

Must-Have:

  • Expertise in enterprise architecture frameworks (TOGAF, Zachman)).
  • Experience in designing, implementation & support of enterprise wide digital solutions with experience on Data Lifecycle Management
  • Strong experience of cloud computing platforms (AWS, Azure,), Proficiency in database & Graph database technologies (SQL, NoSQL, PostgreSQL, MongoDB, Cassandra, Neo4J). Experience with data lakes, data warehouses & ETL/ELT tools (Snowflake, BigQuery, Databricks).
  • Experience with API design, microservices architecture
  • Experience of DevOps practices, CI/CD, Infrastructure-as-Code, Docker, Kubernetis


Good-to-Have:

  • Certifications in Azure/AWS/GCP at architect level
  • Developed and deployed large IoT based industrial solution
  • Experience in Oil & Gas or Process Industries


Responsibility of / Expectations from the Role:

Work with TCS/ Customer teams to identify the technologies, architecture, tools, processes, practices (development, testing) required for the project/ program

This role involves collaborating with cross-functional teams of customer/ TCS to conceive the technical solutions as a proactive proposal or response to proposal

Responsible for driving/ executing/ guiding delivery team when required for the technical delivery of the application/ System (leveraging Industry 4.0 technologies such as AI, IoT, digital twins, predictive analytics, and automation)

Responsible to write white papers, approach papers, research paper & interact with analysts on the topic of technical & data architectures

Adoption of the GenAI in SDLC, train and groom the team in technologies, tools and processes

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