Role Overview

The Data Architect will define data architecture, data models, data flows, integration

patterns, governance standards, and data platform architecture for business and

technology solutions.

The role will work across application, database, Big Data, analytics, cloud, security, and

engineering teams to translate business and system requirements into scalable, secure,

reliable, and maintainable data solutions.

Key Responsibilities

Define data architecture principles, standards, patterns, and target-state

architecture.

Design conceptual, logical, and physical data models based on business and

system requirements.

Define data entities, relationships, ownership, boundaries, and lifecycle.

Design data flows across applications, databases, APIs, operational systems,

and analytical platforms.

Define architecture for transactional, operational, and analytical data

environments.

Design data integration and data movement patterns across systems and

platforms.

Define data storage and access patterns based on workload requirements.

Establish standards for data quality, governance, lineage, security, privacy,

retention, and lifecycle management.

Work with databases and Big Data teams to translate data architecture into

implementable solutions.

Evaluate data technologies and define technology requirements based on

scalability, performance, reliability, security, and cost.

Support data migration, modernization, and cloud adoption initiatives.

Review data designs and technical implementations for alignment with agreed

architecture and standards.





Identify data architecture risks, dependencies, constraints, and opportunities for

improvement.

Define reusable data architecture patterns, standards, and reference

architectures.

Work with application and engineering teams to ensure appropriate data

integration and access patterns.

Maintain data models, architecture diagrams, technical decisions, standards, and

other architecture documentation.

Participate in customer discussions, architecture workshops, and technical

decision-making.

Required Skills & Experience

10 15 years of experience in data architecture, data engineering, database

architecture, or related roles.

Strong understanding of conceptual, logical, and physical data modeling.

Strong understanding of relational databases, data stores, and data access

patterns.

Experience designing data architecture across operational, transactional, and

analytical systems.

Strong understanding of data integration, data flows, APIs, and system-to-system

data exchange.

Strong understanding of data governance, data quality, lineage, security, privacy,

retention, and lifecycle management.

Experience with cloud-based data platforms and data architecture.





Understanding of data warehouse, data lake, and lakehouse architectures.

Ability to evaluate data technology choices against functional and non-functional

requirements.

Strong architecture documentation and technical decision-making skills.

Solid communication, stakeholder management, and architecture leadership

skills.

Nice to Have

Experience with cloud data platforms such as Big Query, Snowflake, Redshift,

Azure Synapse, or comparable technologies.

Exposure to modern Lakehouse architecture.

Experience with enterprise data governance and metadata platforms.

Experience with data migration and modernization initiatives.

Experience working across database, Big Data, analytics, application, and cloud

practices.

Experience with data architecture for large or complex enterprise applications.

Role Expectations

The role is expected to provide hands-on architecture leadership, own data architecture

outcomes, and translate business and system requirements into practical data

solutions.

The Data Architect should be able to take a requirement through:

Business Requirement Data Requirements Data Architecture Data Model

Data Flow & Integration Technology Design Implementation Data Governance

Operations

The role is also expected to establish reusable architecture standards, patterns, and

reference designs while contributing to the growth and maturity of ZARTHI's Data

practice.

Location & Work Arrangement

Location: Noida / Bangalore / Trivandrum

Job Type: Full-time

📌 Data Architect (India)
🏢 CIEL HR
📍 India