Expires soon KPMG SA

Data Architect

  • Toronto (Toronto Division)
  • Architecture / Town planning

Job description

Position Summary

We need a talented and forward thinking individual to design, create, deploy, and evolve our Enterprise Data Warehouse.
Our growing scope on Data Analytics, AI, and Digital Innovation requires an experienced Data Architect & Engineer to accelerate our development of a central data warehouse / Data Lake to the benefit of our business stakeholders (Finance, Marketing, HR, IT, Audit, Tax, Advisory & Consulting).
As a member of the Data Analytics & AI team, you will work with a cross-functional team of Data Analysts, Scientists, Engineers, and Dev-Ops specialists to deliver data, analytics, and solutions critical to our digital innovation mandate.
Key responsibilities and ownership will include architecting our ETL workflows from data ingest, through cleansing, structuring, and transformation into a fluid data mart for consumption by our business.
We are looking to for a team player who will complement our growing Data Analytics & AI team in the following areas:

Your Current Experience:

·  Architecting data models and database design for relation data warehouses based on business intelligence and web application requirements (e.g. MySQL, MS SQL Server, PostGresSQL, HANA/SAP, Oracle, etc.)
·  Designing, building, and automating ETL pipelines incorporating ingest, cleansing, structuring, normalization, aggregation, table optimization, and data QA workflows
·  Developing NoSQL database models (e.g. document, columnar, key-value, graph or big-data stores)
·  Using SQL and scripting languages (e.g. Python, Ruby, Bash) for task automation
·  Incorporating data governance and access control into database design and data models
·  Optimizing data models for downstream consumption by BI platforms (e.g. Tableau, PowerBI, QlikSense), Business Rule engines, D3.js web applications, and A.I. microservices
·  Taking a 360 degree view of data connecting technical data solutions to product, business, and organizational focuses of the team
Can work with:

·  Systems, IT, and DevOps Engineers for database implementation, performance monitoring and optimization
·  Data Scientists and Data Analysts for building effective data production pipelines and processes for analytics and machine learning solutions
·  Business Analysts and Product Owners for mapping business requirements to technical solutions provided by our enterprise data warehouse / data lake

If this sounds like you and you have a passion tech innovation, a startup mindset, and a desire to work with a growing team of Scientists, Analysts, and Business Innovation specialists, let\u0027s start the conversation.

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Location Toronto, ON ,Our Values, The KPMG Way
We lead by example | We work together | We respect the individual
We seek the facts and provide insight | We are open and honest in our communication
We are committed to our communities | Above all, we act with integrity

KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants' disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process , please contact the HR Shared Service Centre by email or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.
Category Consulting Service Line Finance ,IndustryTechnology, Media & Telecom

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