FAQs
What is the role of the Principal Architect - Data & Cloud at Quantiphi?
The Principal Architect is responsible for architecting, designing, and implementing data solutions, managing data lakes, and providing technical guidance on cloud and data-related challenges.
What is the required experience for this position?
Candidates should have 14-20 years of experience, with at least 5 years specifically in building and managing Data Lakes, Data Warehouses, and related solutions on Cloud platforms like GCP, AWS, or Azure.
Where is this position located?
The work location is in Mumbai or Bangalore.
What are the primary responsibilities of this role?
Responsibilities include leading data projects, understanding business requirements, designing data integration solutions, mentoring team members, and supporting pre-sales activities.
What technologies should a candidate be familiar with for this role?
Candidates should be well-versed in cloud technologies (GCP, AWS, Azure), data integration and ETL tools (e.g., Spark, Informatica), and databases (both SQL and No-SQL).
Is there an emphasis on machine learning in this position?
Yes, preferred experience includes working with machine learning frameworks such as TensorFlow or PyTorch.
Will the Principal Architect work with multiple stakeholders?
Yes, the role involves interfacing with various stakeholders within IT and business to understand and address data requirements.
What is the company's culture like?
Quantiphi fosters a diverse and transparent culture that encourages innovation, personal growth, and teamwork among its employees.
Are there opportunities for mentoring in this role?
Yes, the Principal Architect will mentor young talent within the team and help define and track their growth parameters.
What kind of support does this role provide to the sales team?
The Principal Architect supports the sales team by assisting with RFPs, RFIs, and developing technical solutions for data-related proposals.
What benefits are offered with this position?
Benefits include flexible remote working options, the opportunity to work in a high-growth startup environment, and the chance to contribute to transformative projects in AI and Big Data.