Cloud Data Architect

Chimera Technologies Pte Ltd; Bengaluru; Hybrid; INR 4,000,000 - 6,800,000; Full time

Benefits offered by this job

Hybrid work model

Continuous improvement program

Chimera Talks and team events

Job summary

Chimera Technologies Pte Ltd is seeking a Senior Data Architect to design and implement enterprise-scale data architectures across AWS, Azure, and Databricks. You will define standards, governance, and best practices supporting analytics, AI/ML, and operations.

Lead data platforms, data models, and cross-cloud integration while collaborating with stakeholders to translate business needs into scalable technical solutions. Hybrid work arrangement offered.

Qualifications

• Experience designing enterprise-scale data architectures across multiple cloud platforms.
• Strong knowledge of governance, data modeling, and metadata management.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Design and implement enterprise-scale data architectures across AWS, Azure and Databricks.
• Define data architecture standards, governance frameworks and best practices.
• Develop scalable, secure data solutions supporting analytics, AI/ML and operations.
• Create and maintain enterprise data models: conceptual, logical and physical.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Architect and optimize data platforms; ensure cross-cloud interoperability and data quality.

Skills

Data architecture

Cloud data strategy

Stakeholder management

Architectural leadership

Tools

AWS

Azure

Databricks

SQL

NoSQL

Job description

• Design and implement enterprise-scale data architectures across AWS, Azure, and Databricks platforms.
  
• Define and establish data architecture standards, governance frameworks, and best practices.
  
• Develop scalable, secure, and resilient data solutions supporting analytics, AI/ML, and operational workloads.
  
• Create and maintain enterprise data models, conceptual, logical, and physical data architectures.
  
• Collaborate with business and technology stakeholders to translate business requirements into technical solutions.
  
• Architect and optimize data platforms using AWS, Azure, Databricks, SQL and NoSQL technologies.
  
• Design cloud-native data lakes, lake house, data warehouses, and real-time data processing solutions.
  
• Evaluate and recommend cloud services, tools, and technologies based on business and technical requirements.
  
• Establish cross-cloud integration patterns and interoperability standards.
  

Data Integration & System Integration

• Design and implement enterprise integration architectures using APIs, event-driven patterns, messaging services, and ETL/ELT frameworks.
  
• Define integration strategies between enterprise applications, cloud platforms, databases, and third-party systems.
  
• Lead API design standards, integration governance, and service-oriented architecture initiatives.
  
• Ensure secure and reliable data exchange across systems and platforms.
  
• Define enterprise data governance frameworks and implementation roadmaps.
  
• Lead metadata management, data cataloging, data lineage, and data stewardship initiatives.
  
• Establish data quality standards, policies, controls, and monitoring mechanisms.
  
• Partner with governance teams to ensure regulatory compliance and data security requirements.
  

AI & Agentic AI Enablement

• Architect data foundations required for AI, Generative AI, and Agentic AI platforms.
  
• Design data pipelines, vector stores, knowledge repositories, and retrieval architectures supporting AI solutions.
  
• Collaborate with AI teams to build scalable and governed AI ecosystems.
  
• Evaluate emerging AI technologies and identify opportunities for enterprise adoption.
  

Leadership & Stakeholder Management

• Provide technical leadership and architectural guidance across multiple programs and teams.
  
• Mentor data engineers, solution architects, and developers on architecture best practices.
  
• Participate in architecture review boards, design governance, and technology strategy discussions.
  
• Communicate complex technical concepts effectively to business and executive stakeholders.
  

Preferred Candidate Profile

• 10+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Management.
  
• 5+ years of experience designing cloud-native solutions on AWS and Azure.
  
• Strong experience with Databricks Lakehouse architecture and modern data platforms.
  
• Experience defining enterprise data strategy, governance, and architecture frameworks.
  
• Strong stakeholder management and consulting skills.
  
• Experience working in regulated industries such as Healthcare, Life Sciences, Financial Services, or Manufacturing is preferred.
  

Can participate in several organization-wide programs, including a compulsory innovation-based Continuous improvement program providing you platforms to showcase your talent.

Ability to work on many products as the organization is focused on working with several ISVs.

Fortnightly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.

Celebrations are a common place - physical or virtual. Participate in several games with your co-workers

Voice your opinions on topics other than your work - Chimera Talks.

Usual annual year-end bonuses

Hybrid work options - Work from home and office.