Manager, Data and Analytics Solution Architect

OverviewAt KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.Our Vancouver team is looking for a highly motivated Data and Analytics Solution Architect at a Manager level to join our team. As a member of KPMG Canada’s Lighthouse team, you will be dedicated to enabling and optimizing our clients' cloud functionality across our data, analytics, and software solutions. This role will be rewarding if you:Thrive on challenges and work best in a fast-paced environment where each day is different.Work well in a project team environment and have strong collaboration and interpersonal skills.Have a natural “figure it out” mindset.Innovate. Collaborate. Shine. Lighthouse - KPMG Canada’s Center of Excellence for data, advanced analytics, and AI — applies data engineering, data science, AI/ML and software development expertise to architect data and analytics solutions to solve real-world business problems, operationalize AI and optimize emerging technologies for its mission. Join a diverse team which is always curious and learning, thinking independently, working collaboratively, and solving difficult problems with enthusiasm.What You Will DoAs a manager, you’ll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:Work with cross-functional engagement teams to translate business and analytics requirements into a data, analytics, and AI strategy and requirements for the engagement.Architect and develop end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, and pipelines on modern data platforms such as Microsoft Fabric, Databricks, and Snowflake on Azure, AWS, and GCP, with a focus on the first two.Lead deployment and delivery of the solution while enforcing technical architecture and documentation standards, policies, and procedures.Analyze, implement, and resolve issues with existing modern data platforms.Provide mentorship to a team of data engineers, software developers, and data scientists with a focus on modern data analytics platform.Lead the team to assemble large, complex data sets that meet functional and non-functional requirements.Identify, design, and implement internal process improvements automating manual processes and optimizing data delivery.Collaborate with stakeholders including Executive, Product, Data and Design teams to assist with data, analytics and AI-related technical issues and support their data analytics infrastructure needs.Perform data management tasks, including data architecture design, data modeling, data security, privacy, quality management, data operations, and data integration.Develop standards for data processes and automate routine tasks.Run queries for descriptive analytics and provide formatted result sets.Contribute to presentation materials relating to data activities for stakeholder discussions.Create data tools for analytics and data science teams to support product innovation and leadership.Take ownership of projects and push technological boundaries.Presales, estimating and proposal writing, responding to RFPs.Assist in scoping, estimation, and task planning for assigned projects.Remain up to date with new and emerging technologies.What You Bring To The RoleWe will look to you to bring a blend of knowledge, training, and experience, including:6+ years of experience in data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable), ideally within a services/consulting organization.Expertise in leading and mentoring team members toward developmental objectives and resilience to overcome challenges or setbacks to achieve team, project, and client goals.Expertise in relational and non-relational databases, including SQL.Experience building and optimizing data pipelines, architectures and data models for all data types, speed, and sizes.Experience performing root cause analysis on internal and external data; processes to answer specific business questions and identify opportunities for improvement.Experience building standards and processes supporting data, data transformation, data structures, metadata, dependency, and workload management.Demonstrated history of manipulating, processing, and extracting value from large discrete datasets.Working knowledge of message queuing, stream processing, parallel processing, and data lakes.Experience deploying and maintaining high-performance computing VMs in on-premises and cloud environments.Experience using a combination of industry-relevant software/tools including some of the following:Modern Data Analytics Platforms: Microsoft Fabric, Synapse, Databricks, Snowflake.Big data tools: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases (e.g., MS SQL Server, PostgreSQL, Cosmos DB).Data pipeline/workflow tools: Azkaban, Luigi, Airflow, etc.Azure, AWS and GCP cloud data services.Stream-processing systems: Spark-Streaming, Azure Event Hubs, etc.Programming languages: Python, Java, C++, Scala, etc.Desired Experience, Certifications, And AbilitiesRelevant post-secondary education in a related field.Azure Certifications: Azure Data Engineer Associate, Azure Solutions Architect Expert.Databricks Certifications: Databricks Certified Data Engineer Associate, Databricks Certified Professional Data Engineer.Experience in analytics, statistics, data mining, machine learning, NLP and/or mathematics is an asset.Experience in visualization and data modeling within tools like Tableau, Power BI, D3, Plotly, etc. is an asset.What makes you stand outLeadership skills to manage diverse teams and stakeholder expectations.Ability to see the big picture as a consultant and internal contributor; practical and cost-effective solutions.Strong problem-solving, analytical mindset, and willingness to guide others through complex challenges.Self-starter who seeks continuous improvement and contributes to practice performance.Exceptional communication skills in presentation, documentation, and written communication.Active engagement in the professional community and events.KPMG BC Region Pay Range InformationThe expected base salary range for this position is $93,000 to $155,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on location, skills, competencies, and qualifications. KPMG offers a comprehensive Total Rewards program.Providing you with the support you need to be at your bestOur Values, The KPMG WayIntegrity, Excellence, Courage, Together, For Better. We do what matters.KPMG in Canada is an equal opportunities employer and we are committed to a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply.Adjustments and accommodations throughout the recruitment processWe are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.Employment detailsSeniority level: Not ApplicableEmployment type: Full-timeJob function: Engineering and Information TechnologyNotes: Referrals increase your chances of interviewing at KPMG Canada. Surrey, British Columbia, Canada — 1 month ago. #J-18808-Ljbffr