Data Engineering Architect | 0→1 Data Platform | AWS | Mumbai | IMMEDIATE Joiners

datavruti; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

datavruti in Mumbai is seeking a Data Engineering Lead/Architect to build our insurtech data backbone from scratch. You will be a hands-on architect powering underwriting, pricing and claims with a scalable data lake and warehouse.

The role is on-site at Mumbai (Vikhroli), full-time, with immediate to 15-day joiner preference and an emphasis on IRDAI-aligned governance. You will mentor a team and shape data strategy for growth.

Qualifications

• 7+ years in Data Engineering with proven "0 to 1" platform building.
• Expert-level AWS architecture (S3, EMR, Kinesis, Redshift) and cloud data warehousing.
• Experience with data governance, security, and IRDAI/compliance considerations.

Responsibilities

• Architect scalable data lake and warehouse from Day 0.
• Design robust pipelines for 7+ internal/external data sources.
• Define data models, ensure high quality/security and ML readiness.
• Lead and mentor a growing team of data engineers.

Skills

Data engineering

Python

SQL

AWS

ETL

Data governance

CI/CD

Data lake

Tools

AWS EMR

Amazon Redshift

Kinesis

S3

Job description

Hiring for: An emerging general insurance business in India. AI-led, fast and transparent.

Role: Data Engineering Architect / Lead - Mumbai - Proven "0 to 1" platform building

Positions: 1

Experience: 7 to 12 years

Location(s): Mumbai (Vikhroli) - 5 days a week - Work from office

Type: On-site / Permanent

Salary: To be shared with shortlisted candidates

Notice Period: Immediate to 15 Day joiner preferred

Background: SaaS/Product company experience; 2+ years of team mentorship.

Looking for a Data Engineering Lead / Architect (7+years) to built our InsurTech startup data backbone from scratch.

We need a hands-on Architect to design and scale the infrastructure powering our core insurance functions (underwriting, pricing, claims).

Key Responsibilities:

• Architect: Build a scalable data lake and warehouse from Day 0.
• Scale: Design robust pipelines for 7+ internal/external data sources.
• Strategy: Define data models, ensure high quality/security (IRDAI compliance), and enable ML readiness.
• Lead: Mentor a growing team of data engineers.

Requirements:

• Experience: 7+ years in Data Engineering; proven "0 to 1" platform building.
• Cloud: Expert-level AWS (S3, EMR, Kinesis, Redshift).

Skills: Python/SQL, distributed processing, CI/CD, and data governance.