Architect - Digital solutions
Tata Consultancy Services
2 - 5 years
Pune
Posted: 04/01/2026
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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