Architect – Backend

Digit Insurance; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading insurance technology firm in Bengaluru seeks a Data Architect to lead its enterprise-wide data strategy. The ideal candidate will have over 10 years of data architecture experience, expertise in SQL, and a vision for innovative data solutions. This full-time role offers an opportunity to significantly impact the company's data capabilities and drive business growth.

Qualifications

• 10+ years of experience in data architecture and management.
• 8+ years in data modeling with MPP technologies.
• 5+ years in the insurance industry.

Responsibilities

• Define and implement the organizational data strategy.
• Lead the development of an enterprise Data Warehouse.
• Partner with cross-functional teams to ensure seamless data operations.
• Lead end-to-end BI architecture and reporting standards.
• Optimize SQL queries and database performance.

Skills

Data architecture and management

Data modeling

Advanced SQL coding

Stakeholder collaboration

Cloud platforms

Big data analytics

Education

Bachelor’s degree in Computer Science

Master’s degree in relevant field

Tools

PostgreSQL

Oracle

IBM DB2

Hadoop

Spark

Job description

Join to apply for the Architect – Backend role at Digit Insurance

We are looking for a Data Architect to lead the design and implementation of Digit’s enterprise-wide data strategy. This role will be responsible for building scalable data models, managing data warehouses, and enabling advanced analytics capabilities across the organization.

Role Overview

The ideal candidate brings deep technical expertise, hands-on experience, and a strategic mindset to drive data excellence and innovation.

Key Responsibilities

• Data Strategy & Architecture: Define and implement the organizational data strategy aligned with business processes.
• Design data models and database development standards to support scalable analytics solutions.
• Lead the development of an enterprise Data Warehouse as a single source of truth for internal and external data.

• Data Management & Integration: Identify and integrate diverse data sources in line with the enterprise data strategy.
• Ensure data accessibility, accuracy, and security across platforms.
• Develop strategies for data acquisition, archival, recovery, and database implementation.

• Collaboration & Stakeholder Engagement: Partner with cross-functional teams, stakeholders, and vendors to ensure seamless data operations.
• Gather requirements and create Data Warehouse Requirements and Design Documents.
• Support business users with scripts, queries, and code to meet specific data needs.

• BI & Analytics Enablement: Lead end-to-end BI architecture—from platform selection to development and deployment.
• Establish standards for business intelligence reporting and visualization (dashboards, KPIs).
• Drive innovation and business improvement through data-driven insights.

• Big Data & Performance Optimization: Plan and execute big data and data lake solutions using Hadoop, NoSQL, Spark, S3, and hybrid architectures.
• Conduct performance audits and proactively address system gaps or breaches.
• Optimize SQL queries and database performance through schema design and tuning.

Experience & Skills Required

• 10+ years of experience in data architecture and management.
• 8+ years in data modeling (logical and physical), preferably with MPP technologies.
• 8+ years of advanced SQL coding and tuning experience with PostgreSQL, Oracle, or IBM DB2.
• 5+ years in the insurance industry with strong stakeholder collaboration.

• Proficiency in SQL and stored procedures.
• Deep understanding of data and metadata management principles.
• Experience with cloud platforms for data warehousing.
• Hands-on expertise in data warehousing, architecture, master data, big data analytics, and visualization.
• Familiarity with Python, R, NoSQL, and real-time analytics.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field; Master’s degree preferred.

What You Bring to Digit

You bring technical depth, architectural vision, and a data-first mindset—helping Digit build scalable, secure, and intelligent data systems that power innovation and business growth.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Insurance