Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary:

We are looking for a seasoned Snowflake Data Architect to lead the design and
implementation of scalable, high-performance data solutions. This role demands deep expertise in Snowflake, SQL, Data Modelling, and DBT, along with a strong understanding of cloud platforms and modern data engineering practices.

Responsibilities:
• Architect end-to-end data solutions using Snowflake, ensuring
scalability, performance, and cost-efficiency.
• Define and enforce best practices for data
modeling, DBT development, and SQL optimization.
• Write efficient and scalable SQL queries for data extraction and
reporting.
• Collaborate with cross-functional teams to translate business
requirements into robust data architectures.
• Lead the design of data pipelines and workflows
using Airflow and Python.
• Ensure data quality, integrity, and governance across the pipeline.
• Provide technical leadership and mentorship to data engineers and
analysts.
• Optimize performance and cost of Snowflake workloads.
• Oversee legacy system integration and migration (e.g., Oracle, DB2,
Teradata) into modern data platforms.
• Evaluate and integrate cloud-native services from Azure or GCP to
enhance data capabilities.
Primary Skills:
• Snowflake (Architecture, Performance Tuning, Security, Cost
Optimization)
• SQL (Advanced Querying, Optimization, Standards Enforcement)
• Data Modelling (Dimensional, Normalized, Hybrid Models)
• DBT (Design Patterns, Modularization, Testing)
Secondary Skills:
• Airflow (Workflow Design and Orchestration)
• Python (Advanced Scripting, Data Processing)
• CI/CD (Automation, GitOps, DevOps for Data)
• Oracle, DB2, Teradata (Legacy System Understanding)
• Cloud Platforms: Azure or GCP (Data Services, Storage, Compute)

Mandatory skill sets:

Snowflake SnowPro Core certification
Snowflake SnowPro Advanced – Data Architect certification

Preferred skill sets:

Exposure to DBT for data transformations
Analytical mindset with strong problem-solving ability

Years of experience required: Experience:

7 – 12 Years

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Snowflake (Platform)

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling + 32 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship
No

Government Clearance Required
No

Job Posting End Date
January 21, 2026

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