Key Responsibilities:

- Design and implement enterprise-scale analytics solutions using Looker.

- Develop and maintain scalable LookML models, Explores, Views, and Dashboards.

- Architect and manage semantic data layers to ensure data consistency and governance.

- Collaborate with business stakeholders to gather reporting and analytics requirements.

- Translate business requirements into technical BI and data visualization solutions.

- Optimize Looker performance, dashboard responsiveness, and query efficiency.

- Define data modeling standards, best practices, and governance frameworks.

- Work closely with Data Engineers, Data Scientists, and Business Analysts.

- Implement role-based security, access controls, and data governance policies.

- Integrate Looker with cloud data warehouses and enterprise applications.

- Support analytics modernization and cloud migration initiatives.

- Provide mentorship and technical guidance to BI developers and analytics teams.

- Monitor, troubleshoot,



and resolve BI platform issues.

Required Skills

Looker Platform Expertise

- LookML Development

- Looker Modeling

- Explores &
- Views

- Dashboard Development

- Embedded Analytics

- Looker API Integration

- Looker Administration

- Scheduled Reporting &

- Alerting

Data Warehousing &

- Databases

- Google BigQuery

- Snowflake

- Amazon Redshift

- Azure Synapse Analytics

- PostgreSQL

- SQL Server

- MySQL

Data Modeling

- Dimensional Modeling

- Star Schema

- Snowflake Schema

- Semantic Layer Design

- Data Governance

- Data Lineage

- Data Quality Management

SQL &

- Analytics

- Advanced SQL Development

- Query Optimization

- Data Transformation

- KPI &
- Metrics Framework Design

- Business Performance Reporting

Cloud Technologies

- Google Cloud Platform (GCP)

- Microsoft Azure

- Amazon Web Services (AWS)

📌 Walk-in || Looker Architect - S (Chennai)
🏢 Tata Consultancy Services
📍 Chennai