Data Architect – Cloud, AI/ML & Enterprise Data

Quantum Integrators; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Quantum Integrators invites an experienced Data Architect to design and lead enterprise data architecture, cloud data platforms, AI/ML solutions, and governance across large-scale environments.

The role requires building scalable data solutions on AWS, Azure, GCP, Snowflake, Databricks, Spark, and Kafka, enabling AI/ML analytics and strong governance. Based in Pune/Nagpur, this full-time office-based position demands 12–15 years of experience and immediate joining.

Qualifications

• Bachelor's or master's degree in Computer Science, IT, or a related field.
• 12–15 years of experience in data architecture, solution architecture, or enterprise data platforms.
• Strong technical leadership and stakeholder management abilities.

Responsibilities

• Design scalable data architectures and cloud-based data platforms.
• Develop data solutions using AWS, Azure, GCP, Snowflake, Databricks, Spark and Kafka.
• Enable AI/ML-driven analytics for predictive maintenance, pricing optimization, and BI.
• Establish data governance, security, privacy, and compliance frameworks.
• Lead data modernization, lakehouse, data integration, and platform transformation.
• Collaborate with business and technology teams to align data strategies with goals.

Skills

Enterprise Data Architecture

Data Modeling

Python

SQL

AI/ML & MLOps

Data Governance & Security

Education

Bachelor's or Master's in Computer Science/IT or related field

Tools

Snowflake

Databricks

Apache Spark

Kafka

AWS

Azure

GCP

Job description

Role: Data Architect – Cloud, AI/ML & Enterprise Data Platforms

Location: Pune/ Nagpur, Maharashtra (Work From Office)

Employment Type: Full-Time

Experience: 12 to 15 years

Shift Time: UK Shift (02:00 PM to 11:00 PM IST)

Notice Period: Immediate joiners only

Role Overview:

• We are looking for an experienced Data Architect to design and lead enterprise data architecture, cloud data platforms, AI/ML solutions, and data governance initiatives across large-scale business environments.

Key Responsibilities:

• Design scalable data architectures and cloud-based data platforms.
• Develop data solutions using AWS, Azure, GCP, Snowflake, Databricks, Spark, and Kafka.
• Enable AI/ML-driven analytics for predictive maintenance, pricing optimization, and business intelligence.
• Establish data governance, security, privacy, and compliance frameworks.
• Lead data modernization, lakehouse, data integration, and platform transformation initiatives.
• Collaborate with business and technology teams to align data strategies with business goals.

Required Skills:

• Enterprise Data Architecture and Data Modeling.
• AWS, Azure, and GCP.
• Snowflake, Databricks, Apache Spark, and Kafka.
• Python, SQL, AI/ML, and MLOps.
• Data Governance, Data Security, DLP, and Zero Trust.
• Data Lakes, Lakehouse, Microservices, and Cloud Modernization.

Qualifications:

• Bachelor's or master's degree in Computer Science, IT, or a related field.
• 15+ years of experience in data architecture, solution architecture, or enterprise data platforms.
• Strong technical leadership and stakeholder management skills.