Google Cloud Platform Data Architect, Senior Manager

Pwc Canada•Toronto, ON

59d

About The Position

At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. In technology strategy at PwC, you will specialise in developing and implementing strategic plans to leverage technology for business growth and innovation. You will analyse market trends, assess organisational needs, and provide guidance on technology investments and initiatives. Working in this area, you will collaborate with stakeholders to align technology strategies with overall business objectives to increase utilisation of technology resources, driving competitive advantage. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

Requirements

10+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
Experience in using GCP services to analyze data, build data models and generate visualizations
8+ years of experience in design and development of large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM
Experience building data processing pipelines to integrate large datasets from multiple sources and formats
Experience designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
Experience in designing and implementing solutions across various Cloud services such as GCE, GKE, cloud run, BigQuery, Dataproc, Dataflow, Dataplex, CloudSQL, Cloudspanner, Looker etc.
Experience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS etc.
Experience in implementing enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards.
Implementing cloud data solutions in the context of business applications, cost optimization, client’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization
Expert level skills in writing and optimizing SQL
Proficiency in using GCP SDKs for interacting with native services and experience with Git and CI/CD pipelines