Senior Data Warehouse Architect - Immediate hires

ThoughtVerve; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading software development firm in Bengaluru is seeking an experienced Senior Data Architect. The role involves designing and managing the enterprise data architecture, ensuring data quality and scalability for BI solutions. The ideal candidate will have deep expertise in cloud data platforms and experience with ETL/ELT strategies. This is a full-time position offering opportunities to work with modern data solutions.

Qualifications

• Deep expertise in Business Intelligence and cloud data platforms.
• Experience in data architecture and governance.
• Strong skills in performance optimization of BI solutions.

Responsibilities

• Define overall data architecture and frameworks.
• Design and maintain data models for reporting.
• Select and integrate BI tools for data visualization.
• Define ETL/ELT strategies for data migration.
• Ensure data quality, lineage, and security.

Skills

Business Intelligence (BI)

Cloud data platforms

Data modeling

ETL/ELT

Data governance

Data quality management

Tools

Tableau

Power BI

Cognos

Job description

Overview

We are seeking a highly experienced Senior Data Architect with deep expertise in Business Intelligence (BI) and cloud data platforms. The ideal candidate will be responsible for designing, implementing, and managing enterprise data architecture, ensuring data integrity, scalability, and analytics readiness. You will collaborate with business and technology teams to translate organizational data needs into robust, modern data solutions.

Key Responsibilities

• Data Strategy and Architecture: Defining the overall data architecture, frameworks, and standards for the organization, including data lakes, data warehouses, and data marts, to support BI and analytics goals.
• Data Modeling: Designing and maintaining conceptual, logical, and physical data models that are optimized for reporting and analysis.
• BI Platform Leadership: Selecting, integrating, and optimizing the Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, Cognos) to ensure they can connect to, query, and visualize data effectively.
• ETL/ELT Design: Defining the Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) strategy and architecture for moving data from source systems into the analytical data store / data warehouse on AWS environment.
• Performance Optimization: Ensuring the data architecture and BI solutions are scalable, secure, and performant, particularly for complex and high-volume queries run by BI tools and analysts.
• Data Governance and Quality: Establishing policies for data quality, data lineage, metadata management, and security (access controls) to ensure the integrity and trustworthiness of the data used for BI.
• Drive adoption of data best practices, documentation, and metadata management.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development