Role & responsibilities

Leading the design and implementation of scalable data architectures using Snowflake and Azure/AWS platforms

- Developing and optimizing data pipelines and workflows with Apache Airflow and Azure Data Factory
- Managing data integration and transformation processes to support data modernization initiatives
- Overseeing the deployment and maintenance of data warehouses, confirming data quality and security
- Collaborating with cross-functional teams to align data strategies with business objectives
- Utilizing advanced data modeling techniques to enhance data infrastructure and analytics capabilities
- Implementing database optimization and performance tuning strategies for effective data retrieval
- Coaching and mentoring teams to foster a culture of continuous learning and innovation in data engineering
- Validating data solutions to meet client requirements and industry standards
- Engaging with stakeholders to provide strategic insights and drive data-driven decision-making

What You Must Have
- At least a Bachelor's degree




- At least 12 years of experience
- Oral and written proficiency in English required

What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in Snowflake Data Warehouse and Azure/AWS platforms
- Utilizing advanced data engineering skills with Apache Hadoop and Apache Airflow
- Leading data modernization projects with a focus on cloud solutions
- Applying strategic thinking in data architecture development and optimization
- Excelling in coaching and feedback to develop high-performing teams
- Navigating complex data environments with analytical thinking and problem-solving skills

Preferred candidate profile

📌 Data Architect (Senior Manager) - Snowflake, Azure/AWS (Bengaluru)
🏢 PwC
📍 Bengaluru