Solution Architect

Reliance Jio • Mobile Networks • Broadband • Python • Java • SQL • Scala • Informatica • Matillion • Fivetran • Apache NiFi • Azure Data Factory • 1 day ago
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Salary
≈ $32k – $56k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp

First seen by Alion on Oct 26, 2026. Reliance Jio scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Reliance Jio

Reliance Jio, a subsidiary of Reliance Industries, is an Indian telecommunications company headquartered in Mumbai and founded in 2007. The company provides a comprehensive digital ecosystem including 4G and 5G mobile network services, high-speed fiber broadband, and a suite of digital applications for streaming, payments, and messaging. It operates the largest mobile network in India and serves hundreds of millions of subscribers through its extensive nationwide infrastructure and business solutions.
jio.com • HQ: Mumbai, India • Broadband • Mobile Networks • 1001-5000 employees • Est. 2007
Tech stack of Reliance Jio
Backed by Silicon Valley Investclub, Vista Equity Partners

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.

Skills

Azure Data Architect, Azure Databricks, ADF, ADLS, Azure Cloud Architect, Azure Data Factory, Azure Data Lake, Azure DevOps, Azure Technical Architect, Cloud Architecture, PySpark, Python, Snowflake, Spark

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