Data Architect (Senior Manager) - Snowflake, Azure/AWS

PwC; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

PwC Hyderabad seeks a senior data engineer to design and implement scalable data architectures on Snowflake and cloud platforms, while optimizing pipelines with Airflow and Azure Data Factory. You will manage data integration, transformation, and data modernization efforts, ensuring data quality and security across warehouses and architectures.

The role requires 12+ years of experience and a Bachelor's degree, with strong English communication.

Qualifications

• Bachelor's degree required with 12+ years of experience.
• English language proficiency required (oral & written).
• Strong expertise in Snowflake Data Warehouse and cloud platforms (Azure/AWS).
• Experience leading data modernization, pipelines, and data governance.

Responsibilities

• Lead design and implementation of scalable data architectures using Snowflake and Azure/AWS.
• Develop and optimize data pipelines with Apache Airflow and Azure Data Factory.
• Manage data integration, transformation, and modernization initiatives.

Skills

Snowflake

Azure/AWS

Apache Airflow

Data modeling

Data warehousing

Data pipelines

Data quality

Mentoring

Stakeholder mgmt

Education

Bachelor's degree

Tools

Azure Data Factory

Apache Hadoop

Job description

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 efficient 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