Data Architect

Infinityquest It Services; Chennai, Bengaluru; Vor Ort; INR 2.500.000 - 4.500.000; Vollzeit

Zusammenfassung

Neoware.ai seeks a Senior Data Architect / Principal Data Engineer with 12+ years of IT experience to lead end-to-end data platform architectures. You will drive Databricks-based solutions across AWS, Azure or GCP, guiding large-scale migrations and modernization while ensuring data quality and governance.

The role requires architecture leadership, strong SQL skills, and excellent stakeholder management, with office-based work in Chennai or Bengaluru.

Qualifikationen

• 12+ years of IT experience.
• 4+ years in Data Architecture / Principal Data Engineering.
• Hands-on experience with Databricks.
• Experience building cloud data platforms on AWS, Azure or GCP.
• Strong understanding of Data Lake / Lakehouse / Data Warehouse architectures.
• Knowledge of Medallion Architecture – Bronze, Silver and Gold.
• Experience with large-scale data migration / modernization / conversion.
• Strong SQL and complex SQL procedures.
• Relational and NoSQL databases knowledge.
• Governance, security and data quality understanding.
• Mentorship of Data Engineering teams.
• Excellent communication and stakeholder management.

Aufgaben

• Design end-to-end enterprise data platform architectures using Databricks and cloud technologies.
• Translate complex business requirements into scalable data architecture solutions.
• Lead architecture reviews and governance processes.
• Mentor Data Engineering teams throughout implementation.
• Ensure security, governance and data quality across platforms.

Kenntnisse

Databricks

Cloud data platforms

Data modelling

SQL proficiency

Architecture leadership

Tools

AWS

Azure

GCP

Jobbeschreibung

Job Description Senior Data Architect / Principal Data Engineer

Client: Neoware.ai
Location: Chennai / Bangalore
Work Mode: Work from Office – 5 Days
Experience: 12+ Years
Budget: As per standards
Open Positions: 1

Role Overview

We are looking for a Senior Data Architect / Principal Data Engineer with 12+ years of overall IT experience and strong hands‑on experience in Data Architecture, Databricks and Cloud Data Platforms.

The ideal candidate should be an architecture-focused technology leader, capable of independently understanding complex business and data problems, designing scalable end‑to‑end data platforms, making technology decisions and guiding engineering teams through implementation and production.

This is not a documentation‑only architecture role. The candidate will be expected to remain technically involved from business requirement architecture implementation production.

Key Responsibilities

• Design and own end-to-end enterprise data platform architectures using Databricks and cloud technologies.
• Understand complex business requirements and translate them into scalable and maintainable data architecture solutions.
• Define architecture for data ingestion, processing, storage, transformation, serving and analytics.
• Design cloud‑based Data Lake / Lakehouse / Data Warehouse solutions using Databricks on AWS, Azure or GCP.
• Apply Medallion Architecture principles using Bronze, Silver and Gold layers and clearly define the purpose and responsibilities of each layer.
• Evaluate and select appropriate technologies based on scalability, performance, cost, security, maintainability and business requirements.
• Lead large‑scale data migration, modernization and conversion initiatives, including assessment, transformation, validation and production cutover.
• Design migration strategies for complex SQL, stored procedures and database workloads.
• Guide Data Engineers and development teams during architecture implementation and resolve technical challenges.
• Participate in Architecture Review Boards, technical design reviews and architecture governance processes.
• Establish standards for data modelling, data quality, security, governance and data management.
• Design solutions involving relational and NoSQL databases, data lakes, lakehouses and enterprise data warehouses.
• Review existing architectures and identify opportunities for modernization, optimization and performance improvement.
• Work closely with business stakeholders, engineering teams and technology leaders to communicate architecture decisions and trade‑offs.
• Provide technical leadership throughout implementation, deployment and production stabilization.
• Ensure solutions meet enterprise requirements for security, governance, scalability, reliability and data quality.
• Create architecture diagrams, solution designs, technical specifications and implementation guidelines.
• Mentor and provide technical direction to Data Engineering teams.

Mandatory Skills

• 12+ years of overall IT experience.
• Minimum 4+ years of experience in Data Architecture / Principal Data Engineering.
• Strong hands‑on experience with Databricks.
• Strong experience designing cloud data platforms on AWS, Azure or GCP.
• Strong understanding of Data Lake / Lakehouse / Data Warehouse architecture.
• Strong understanding of Medallion Architecture – Bronze, Silver and Gold.
• Strong Data Modelling / Data Architecture experience.
• Experience with large‑scale data migration / modernization / conversion projects.
• Strong SQL and experience with complex SQL procedures / stored procedures.
• Experience with relational and NoSQL databases.
• Strong understanding of data governance, security and data quality.
• Experience providing technical guidance to Data Engineering teams.
• Strong architecture problem‑solving and technology decision‑making skills.
• Excellent communication and stakeholder management skills.