Snowflake Architect-Manager-Analytics as service Operate

Industry/Sector

Specialism

Management Level

Job Description & Summary

Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects ensuring their successful planning budgeting execution and completion.
• Partner with team leadership to ensure collective ownership of quality timelines and deliverables.
• Develop skills outside your comfort zone and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues engaging in difficult conversations with clients team members and other stakeholders escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.

Snowflake Architect Manager (1015 Years)
Our Analytics & Insights Managed Services team brings a unique combination of industry expertise technology data management and managedservices experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design build and operate the next generation of data and analytics solutions as an Associate.

Job Requirements and Preferences

Basic Qualifications

• Minimum Degree Required:
  Bachelors Degree in Statistics Mathematics Computer Science Data Science Economics or a related quantitative field
• Minimum Years of Experience:
  1015 years of professional experience in analytics data science or business intelligence roles

Preferred Qualifications

• Degree Preferred:
  Masters Degree in Engineering Statistics Data Science Business Analytics Economics or related discipline
• Preferred Fields of Study:
  Data Analytics/Science Statistics Management Information Systems Economics Computer Science

Preferred Knowledge & Skills
As a Manager and Snowflake Architect youll lead the design implementation and optimization of enterprise-scale data platforms on Snowflake. You will architect data solutions leveraging Snowflake Python/PySpark and SQL enabling scalable analytics and data-driven decision-making. Collaborating with cloud engineers data scientists and business stakeholders youll ensure high-performing secure and reliable data solutions across AWS Azure or addition to hands-on architecture you will provide leadership to delivery teams drive best practices and mentor associates in building next-generation cloud data platforms.

Snowflake Data Architecture & Engineering

• Lead design and implementation of Snowflake-based enterprise data platforms and analytics solutions
• Architect data models warehouses data marts and secure data sharing patterns in Snowflake
• Optimize performance through clustering partitioning query tuning and workload management
• Define data governance access control and compliance policies in Snowflake environments

Programming & Data Engineering

• Develop scalable data processing pipelines using Python and PySpark
• Implement ETL/ELT frameworks integrating structured semi-structured and unstructured data
• Leverage advanced SQL for data transformations aggregations and analytics workflows
• Standardize reusable components and frameworks for data ingestion and transformation

Cloud Platforms & Integration

• Architect and deploy data solutions on cloud platforms (AWS Azure GCP) with Snowflake as the core engine
• Integrate Snowflake with cloud-native services (storage security compute and orchestration)
• Automate provisioning and configuration of data services using cloud-native or IaC tools
• Ensure scalable resilient and cost-optimized architecture across multi-environment deployments

Streaming & Real-Time Data (Nice-to-Have)

• Design and implement real-time or streaming data pipelines (Kafka Kinesis Event Hubs Pub/Sub)
• Integrate Snowflake with streaming platforms for low-latency ingestion and analytics
• Define patterns for hybrid batch streaming workloads

Security Compliance & Monitoring

• Ensure end-to-end data security with encryption access policies and secret management
• Implement role-based access controls audit trails and data compliance practices (GDPR HIPAA SOX)
• Establish monitoring and alerting frameworks for data pipelines and Snowflake workloads
• Partner with governance teams to ensure enterprise standards and audit readiness

Leadership & Collaboration

• Act as a technical leader guiding architects engineers and analysts in Snowflake best practices
• Collaborate with product owners business stakeholders and data science teams to deliver solutions
• Lead sprint planning architecture reviews and backlog refinement for data platform initiatives
• Drive adoption of modern data engineering practices across agile squads

Documentation & Knowledge Sharing

• Maintain architecture blueprints technical documentation and data flow diagrams
• Create reusable playbooks design patterns and best practice guidelines for Snowflake adoption
• Conduct knowledge-sharing sessions peer reviews and upskilling workshops for delivery teams

Soft Skills & Managerial Readiness

• Strong problem-solving and analytical mindset with focus on scalability cost efficiency and reliability
• Ability to communicate data architecture concepts to both technical and business stakeholders
• Proven leadership skills with experience in mentoring coaching and team management
• Ownership-driven mindset ensuring quality delivery innovation and stakeholder satisfaction

Travel Requirements

Job Posting End Date