Data Architect

1 month ago

Bengaluru, India Rakuten India Full time

About Rakuten:

Rakuten India is the Development Centre and key technology hub of the Rakuten Group, Inc. We enable our businesses with our depth of knowledge in multiple streams of technology such as Mobile and Web Development, Web Analytics, Platform Development, Backend Engineering, Data Science, Machine Learning, Artificial Intelligence and much more. Our unique 24/7 support center ensures reliability and sustenance of the Rakuten Ecosystem. With dedicated centres of excellence for Mobile Application Development, Data Analytics, Engineering, DevOps and Information Security, we ensure the success of multiple units of Rakuten Group, Inc. With 1700+ employees and growing, Rakuten India is housed in Crimson House Bangalore in the heart of the city.



Our History:

In 1997, Rakuten first began with Rakuten Ichiba, a B2B2C marketplace, with just six employees, one server, 13 merchants. With the mission of "empowering people and society through innovation and entrepreneurship," the Rakuten group rapidly grew with regional headquarters across the world.

In 2016, Rakuten India opened it doors in Bangalore, India, the tech city known as the Silicon Valley of India This research and development center became a key technology hub of the Rakuten Group, championing some of the products and platforms that run the businesses. With 1000+ (and growing) Rakutenians working on the very same mission as Rakuten Group, Inc, we believe that technology and business needs must challenge each other for true innovation to rise and make a telling business impact We have team members who work support Rakuten's global strategy across businesses such as e-Commerce, Digital, Marketing Platforms, Ecosystem Services and so on. "Walk together" is our guiding philosophy and together we continue to grow stronger by taking Rakuten’s businesses to the next level with not just existing products but also create some in the relevancy of Artificial Intelligence and Machine Learning.




We are looking for an Data Architect who can Work alongside multiple Production Support, Development, System Admin, Project Managers and Engineering teams

Provide database design, configuration, end to end support for RDBMs/NoSQL databases, upgrades, query performance & tuning analysis and best practice implementation for distributed and clustered forms


Key Responsibilities:

  • Architect will define and document the data model, data policies, rules, and standards to govern which data is collected, how it is stored, accessed, enriched, integrated, and consumed within the solution.
  • and implement a scalable, high performance data models and data schema to support data integration, storage and retrieval. Output and maintain ERD covering all BSS components.
  • existing data documentation for gaps. Define Data Security, Data Retention, Back-up & restoration policies aligning to client guidelines
  • build and maintain the database platform to provide stable and secure services.
  • and designing plans for database systems based on various factors such as capacity planning/lifecycle management.
  • with other team members and stakeholders.
  • be able to install, deploy, parameters configuration of Databases on any of the platforms Linux/windows/k8s
  • performance turning, capacity planning and optimisation of database systems to ensure optimal data processing and retrieval



Technical skill you should have:


Hands on experience is designing customer data model with account hierarchy for E-Commerce, Care, CRM or Billing solution

Very good knowledge in database technology for bothNoSQL DB and SQL DB. Working experience with in-memory DB such as Couchbase would be an advantage.

Good knowledge in designing, building, and operating in-production Big Data, stream processing, and/or enterprise data integration solutions using Apache Kafka

Establish scalable implementation of data management framework, platform and tools stack

Good knowledge to develop, implement and managing BAU operational process for data quality functionality and capability such as Data Quality Statistics, Data Quality Scorecards, Data Quality Analysis and Workflows Design

Experience utilising Visualisation tools such as Tableau, Power BI or any similar tool

Experience in replication tools like Couchbase XDCR, Mirroring, Log Shipping, MSSQL

Experience in Clustering, always on, PG Physical and Logical replication

Scripting: PowerShell, Python

Proficient in Document-oriented DB ex. Couchbase DB/MongoDB is a must.

Proficient in any of the following database systems would be an advantage:

RDBMS ex. MYSQL, PostgreSQL, Oracle

NOSQL DB ex. Elasticsearch



Desirable Skills


  • of DevOps practices – Kubernetes, Docker, etc.
  • measurement and monitoring tools like – JMeter, Grafana
  • experienced in traditional waterfall methodology and or Agile/
  • Delivery
  • shell scripting
  • of deployment on Linux, Mac OS operating systems
  • version source control systems such as Git or SVN
  • of presenting solutions to clients
  • & External Stakeholder management

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