Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.Job Description & Summary: A career within PWC
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: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Natural Language Processing (NLP)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date