Data Architect

Aditi Consulting; Chennai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Aditi Consulting in Chennai seeks a highly skilled Data Architect to lead a team of engineers building a robust next-generation data platform. The ideal candidate combines deep expertise in Big Data, Data Warehousing, and end-to-end real-time data movement with a vision for AI-enabled analytics.

You will architect and implement enterprise data solutions, drive data governance, and collaborate with business analysts and stakeholders to translate requirements into scalable data architectures

Qualifications

• Four-year bachelor’s degree in Computer Science, Information Technology, or related field.
• 12+ years of software development experience or at least 3 years of architecture experience with strong demonstrable experience.
• 5+ years of experience designing conceptual, logical, and physical data models for scalability, performance, and integration.
• 5+ years of Data Warehousing experience and optimizing database performance, indexing, and storage strategies.

Responsibilities

• Perform programming and oversee architecture assessment and design for complex development tasks.
• Lead end-to-end architecture design of enterprise integrations serving multiple business functions.
• Design and implement near real-time data movement solutions for core capabilities.
• Define the overall data architecture strategy aligned with business goals.
• Establish data governance, standards, and compliance.
• Maintain high software quality with best practices and security guardrails.
• Develop and maintain current and future architecture blueprints.
• Collaborate with analysts, data engineers, and stakeholders to translate requirements into data solutions.
• Communicate with end users to direct development, debugging, and testing of applications.
• Perform integrated testing and customer acceptance testing to ensure quality results.

Skills

Big Data

Data Warehousing

Data modeling

Cloud Architecture

Python

SQL/NoSQL

Education

Bachelors in CS/IT or related field

Tools

Snowflake

Kafka/Kinesis

AWS services

Azure

DynamoDB/PostgreSQL

Job description

Summary

Seeking a highly skilled and visionary Data Architect to lead a team of engineers in building a robust next-generation data platform. The ideal candidate will possess deep technical and functional expertise in Big Data, Data Warehousing, and end-to-end real-time data movement. You will architect and build the Company's state-of-the-art digital platform while driving innovation in AI and advanced analytics.

Responsibilities

• Perform programming and provide oversight for architecture assessment and design for complex development assignments.
• Lead architecture design of end-to-end enterprise integrations serving multiple business functions.
• Design and implement end-to-end near real-time data movement solutions for core enterprise capabilities.
• Define the overall data architecture strategy aligned with business goals.
• Establish data governance policies, standards, and compliance.
• Maintain high standards of software quality by establishing good practices and security guardrails per enterprise standards.
• Develop and maintain current, planned, and future architecture blueprints.
• Work with business analysts, data engineers, and stakeholders to translate business requirements into technical data solutions.
• Communicate with end users and stakeholders to direct development, debugging, and testing of application software.
• Perform integrated testing and customer acceptance testing of components to ensure timely, quality results.

Requirements

• Four-year bachelor’s degree from an accredited college or university in Computer Science, Information Technology, or a related field.
• 12 years or more of software development experience or at least 3 years of architecture experience with strong demonstrable experience.
• 5 years or more of experience in designing conceptual, logical, and physical data models supporting scalability, performance, and integration needs.
• 5 years of Data Warehousing experience and optimizing database performance, indexing, and storage strategies.

Required Skills

• Expert in implementing security measures for data at rest and in transit, and defining access control, encryption, and compliance frameworks.
• Strong in designing data integration solutions across systems ensuring smooth data flow between applications, APIs, and data warehouses.

Preferred Skills

• Experience in designing, developing, deploying, and maintaining software at scale, with a good understanding of concurrency.
• Working experience in Python as an Object-Oriented programming language.
• In-depth understanding of how data pipelines work in Big Data and expertise in designing architectures for cloud-based data platforms (AWS, Azure).
• Expertise in building large data lakes and data warehouses (Snowflake preferred).
• Strong architecture exposure for building robust data platforms.
• Expertise in SQL and NoSQL databases, message brokers, and AWS services such as Kafka/Kinesis, AWS SQS, AWS SNS, Lambda, API Gateway, DynamoDB, Aurora, AWS RDS PostgreSQL.
• Test-driven development and behavior-driven development.
• Ability to work under pressure and within time constraints.
• Passion for technology and an eagerness to contribute to a team-oriented environment.
• Demonstrated leadership on medium to large-scale projects impacting strategic priorities.
• Strong understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.).

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