Data Architect

Full time
5-7 years
Work from anywhere

 As a part of the job you will ve required to:

  • Developing and implementing an overall organizational data strategy that aligns with business processes. The strategy includes data model designs, database development standards, implementation, and management of data warehouses and data analytics systems.
  • Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
  • Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
  • Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
  • Planning and execution of big data solutions using technologies such as Hadoop. In fact, the big data architect roles and responsibilities entail the complete life-cycle management of a Hadoop Solution.
  • You are defining and managing the flow of data and dissemination of information within the organization.
  • Integrating technical functionality, ensuring data accessibility, accuracy, and security.
  • Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.
If your beliefs resonate with these, you are looking at the right place!  
  • Attitude over skills – You can learn skills with the right viewpoint.  
  • Autonomy – Work the way, when, and where you want. 
  • Mastery – Jack of all, Master of One.  
  • Purpose – Anything we do must create value. Ignore Everything Else. 
  • Attitude over skills – You can learn skills with the right viewpoint.  
  • Hands-on Leaders – Value Creators who manage work, not people


 Must-have technical skills:  

  • Proficient with data transformation & ETL on large data sets 
  • Data Modeling experience (Relational, Dimensional, Columnar, Big Data) 
  • SQL or NoSQL  
  • Solid understanding of Data Warehouse concepts 
  • Experience in industry ETL tools (Informatics, Unifi) 
  • Good hands on with Reporting Technologies (Tableau, PowerBI) 
  • Git 
  • Azure Services  

 Good to have skills: 

  • Experience in programming languages (Python, Java or Bash scripting) 
  • Experience with any Big Data technologies (Hadoop, Spark, Redshift, Snowflake, Hive, Pig etc.) 


Our flagship policies: 

  • Permanent 100% remote work 
  • Work from anywhere! 
  • Flexible work hours 
  • All leaves taken are paid leaves 
  • Insurance cover for your family with add