Roles and Responsibilities

Data Architecture & Strategy

- 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.

Multi-Cloud Data Platform Design

- 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.

Data Governance, Metadata & Lineage

- 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.

Requirements

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.

- Proven experience leading large-scale data transformation initiatives.

- Strong stakeholder management and consulting skills.

- Experience working in regulated industries such as Healthcare, Life Sciences, Financial Services, or Manufacturing is preferred.

BenefitsCan 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 prospect 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.

📌 Cloud Data Architect (Bengaluru)
🏢 Chimera Technologies
📍 Bengaluru