Azure Lead Data Architect

KPMG
Canada, Canada
Temps plein

Overview

At 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.

An Azure Lead Data Architect is responsible for designing, managing, and optimizing data architecture on the Microsoft Azure Cloud platform.

What you will do

  • Develop comprehensive data architectures that align with business requirements, including data models, storage solutions, data pipelines, and analytics frameworks on the Azure platform.
  • Design and implement cloud-based solutions for structured, semi-structured, and unstructured data.
  • Utilize Azure services like Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure Blob Storage, and more to build scalable and secure data solutions.
  • Design, develop, and maintain data integration workflows, ETL / ELT processes using Azure Data Factory or similar tools to ingest, transform, and load data from various sources.
  • Design and enforce data access controls, encryption, masking, and other security measures to protect sensitive data.
  • Collaborate with stakeholders to define data management strategies, including data retention, archiving, and backup solutions.
  • Work closely with data engineers, business analysts, and other stakeholders to understand data requirements and provide architectural guidance.
  • Communicate technical solutions effectively to non-technical stakeholders and ensure alignment with business goals.
  • Optimize data storage, retrieval, and processing performance to enhance the efficiency and scalability of data solutions.
  • Proactively identify and resolve data-related issues, ensuring high availability and reliability of data services.
  • Provide guidance and mentorship to junior data architects, data engineers, and other team members.
  • Lead architectural discussions, code reviews, documentation and design sessions to promote best practices and high-quality solutions.
  • Continuously evaluate and improve the data architecture and related processes, incorporating feedback, industry trends, and new technologies.

What you bring to the role

  • Strong knowledge of Microsoft Azure and cloud data services.
  • 7 to 10 years of experience as an Architect in data Analytics domain.
  • Expertise in data modeling, database design, and data warehousing.
  • Experience with ETL / ELT processes, data integration, and data pipeline orchestration.
  • Proficiency in SQL, NoSQL, Python, Spark, and other relevant technologies.
  • Understanding of data governance, security, and compliance requirements.
  • Excellent communication, problem-solving, and leadership skills.

Technical skills

  • Experience in configuring and implementing Azure Storage, Azure Data Factory, Azure Data Lake, Azure SQL Server Data Warehouse and Azure SQL Server db.
  • Good understanding of AZURE components, storage & compute services
  • Familiarity with DevOps practices and tools, such as Azure DevOps, Git, and CI / CD pipelines
  • Experienced in Data modelling and data architecture design.
  • Experience with Data testing, including ability to create test plans, test cases, execute test cycles, etc.
  • Experience is creating the efforts estimation, timelines for all new projects / programs
  • Understanding of Azure networking fundamentals, including Virtual Networks (VNets), subnets, Azure Private Link, and ExpressRoute.
  • Knowledge of resource provisioning, management, and scaling using Azure Resource Manager (ARM) templates or Terraform.
  • Stay current with the latest Azure offerings and best practices for data architecture, storage, and analytics.
  • Experience with data visualization tools such as Power BI for creating dashboards, reports, and analytics solutions.
  • Certifications : Holding relevant certifications such as Azure Solutions Architect Expert

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity , we do what is right Excellence , we never stop learning and improving Courage , we think and act boldly Together , we respect each other and draw strength from our differences For Better , we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating 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 and hope you will choose KPMG in Canada as your employer of choice.

For more information about Inclusion, Diversity & Equity in Recruitment, please click here .

Adjustments and accommodations throughout the recruitment process

At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us.

We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best.

Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.

e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG's Employee Relations Service team for support by emailing cdnersteamkpmg.

ca or by calling 1-888-466-4778, Option 3.

For information about accessible employment at KPMG, please visit our accessibility page .

Il y a plus de 30 jours
Emplois reliés
KPMG
Canada, Canada

Utilize Azure services like Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure Blob Storage, and more to build scalable and secure data solutions. Experience in configuring and implementing Azure Storage, Azure Data Factory, Azure Data Lake, Azu...

KPMG
Canada, Canada

Hands-on experience with data processing and analytics using Azure Data Factory, Azure Synapse, Azure Data Lake or Azure Databricks is a plus. Lead the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft...

Dropbox
Canada
Télétravail

Our Engineering Career Framework is and describes what’s expected for our engineers at each of our career levels. Experience with cloud security technologies like Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure. We provide a range of innovative cloud-based solutions to empo...

Intuitive.Cloud
Canada

Cloud Architecture experience with multiple cloud platforms. Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. As a Principal DevSecOps Architect, you will be responsible for leading a team of engineers ...

StackAdapt
Canada

Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Very strong problem solving skills in d...

HCLTech
Canada

Excellent knowledge on Google Cloud Run, Cloud Function, Cloud Pub Sub & Cloud Storage. Excellent knowledge on Cloud Logging, Cloud Monitoring, Profiler, Swagger & API Gateway. Proficiency & Deep Learning in Implementing Cloud Technologies. Experience in Containerization, Terraform and Micro Service...

Aritzia
Canada, Canada

The mission of the Data & Analytics Department is to maximize the value of Aritzia's data by making it available, insightful and actionable to foster a culture of data-driven decision making. As the Senior Engineer, Digital Platform, you will leverage modern software development and operational prac...

BMO
Canada, Canada

Elicits requirements and analyzes feasibility to ensure solutions/initiatives achieve the expected business outcomes. Business architecture frameworks. ...

Rackspace
Remote, Canada
Télétravail

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Leverage GCP for scalable big data processing and storage solutions. Proven experie...

ITREB
Canada

The data analysis and Quality assurance program team ensures appropriate data collection, compliance to privacy protection and reporting to allow program improvement. Analyze and provide data on requested metrics to national and regional teams, ensuring data accuracy and relevance. Ensure continuous...