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 PWC

At 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.

Responsibilities:

1. Leadership and Team Management: · Leading teams: A Snowflake Manager often leads a team of developers, engineers, or other professionals involved in Snowflake implementation and management. · Motivating and developing team members: This includes providing guidance, coaching, and opportunities for growth within the Snowflake ecosystem. · Building a high-performing team: This involves attracting, hiring, and retaining top talent, and fostering a positive work environment.

2. Driving Business Results: · Achieving revenue targets: In sales-related roles, a Snowflake Manager will focus on driving pipeline generation, closing deals, and exceeding sales goals. · Improving customer satisfaction: Ensuring customers are satisfied with Snowflake solutions and are receiving the support they need. · Optimizing Snowflake usage: Helping organizations get the most value from their Snowflake investments.

3. Managing Projects and Snowflake Deployments: · Project planning and execution: Managing all aspects of Snowflake implementation projects, from scoping to launch. · Coordinating with cross-functional teams:Working with other departments, such as engineering, data science, and marketing, to ensure successful Snowflake deployments. · Monitoring and maintaining Snowflake infrastructure: Ensuring Snowflake is running efficiently and securely. · Troubleshooting and resolving issues:Addressing any problems that arise with Snowflake.

4. Technical Skills and Expertise: · Understanding Snowflake architecture and features: Having a deep understanding of Snowflake's capabilities and how it integrates with other systems. · Experience with SQL and data warehousing: Being proficient in SQL and understanding the principles of data warehousing. · Knowledge of cloud computing: Having experience with cloud platforms like AWS, Azure, and Google Cloud. · Understanding of data management principles: Understanding data loading, transformation, and extraction processes, as well as data retention and security.

5. Soft Skills: · Communication: Excellent written and verbal communication skills. · Collaboration: Ability to work effectively with cross-functional teams. · Problem-solving: Strong analytical and problem-solving skills. · Leadership: Ability to lead and motivate teams. · Organizational skills: Being highly organized and able to manage multiple projects simultaneously.

Mandatory skill sets:

Snowflake, SQL, Python

Preferred skill sets:

Snowflake, SQL, Python

Years of experience required:

6-10 years

Education qualification:

BE/BTECH, ME/MTECH, MBA, MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology

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 {+ 33 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date