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Solution Architect at Jio Platforms Limited — Bengaluru

Experience10–12 yrs
SalaryNot disclosed
Work modeonsite
Levelexecutive
Posted2 Sept 2026

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About Jio Platforms Limited

Jio Platforms Limited is hiring in Bengaluru in telecom. This role looks for around 10+ years of experience.

Skills

Java
Python
Scala
Snowflake
AWS
Azure
Databricks
Google Cloud Platform
SQL

The role

A solution architect at a telecom product company designs and delivers data platforms using cloud data platforms and data integration technologies, optimizing SQL for scalable production systems. The role develops Java, Python, and Scala solutions and applies distributed data storage to robust, secure architectures.

Full job description

Requirements:

8+ years as a hands-on Solutions Architect and/or Data Engineer, designing and implementing data solutions.

Team lead, and/or mentorship of other engineers.

Ability to develop end-to-end technical solutions into production and to help ensure performance, security, scalability, and robust data integration.

Programming expertise in Java, Python, and/or Scala.

Core cloud data platforms, including Snowflake, AWS, Azure, Databricks, and GCP SQL, and the ability to write, debug, and optimize SQL queries.

Client-facing written and verbal communication skills and experience.

Create and deliver detailed presentations.

Detailed solution documentation (e. g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc. ).

4-year Bachelor's degree in Computer Science or a related field.

Prefer any of the following:

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks.

Cloud and Distributed Data Storage: S3 ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.

Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc, or other data integration technologies.

Multiple data sources (e. g. queues, relational databases, files, search, API). Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment.

Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines.

Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi.