Cloud Data Architect – Location Ontario
Highly motivated Cloud Data Architect with extensive experience working with big data tools and supporting cloud services, a pragmatic mindset focused on translating functional and nonfunctional requirements into viable architectures, leading a highly skilled team on engagements that implement complex and innovative data solutions for clients.
Responsibilities and Duties
Implement end-to end data analytics solutions (from data ingestion through visualization) for largescale, complex client environments.
Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions.
Ability to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database.
Working knowledge of non-relational and row/columnar based relational databases.
Assess current state business processes and supporting technical architecture, while gathering and defining solution requirements.
Design data flow and processing pipelines for ingestion and analysis using contemporary tools.
Lead consultant teams in completing enterprise-scale cloud migration projects from a back end/data perspective.
Perform assessments of existing client cloud/on-prem data infrastructures and document “as-is" environments.
Collaborate face-to face with clients to implement processes, procedures, and technology that support newly engineered data functions in the cloud.
Design, develop, and architect ETL solutions for modern cloud platforms – AWS, Azure, GCP etc.
A good understanding of cloud platforms and prior experience working with big data tooling and frameworks are required.
Build technical solutions required for optimal ingestion, transformation, and loading of data from a
wide variety of data sources using open source, AWS, Azure or GCP ‘big data’ frameworks and services.
Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
Create and maintain optimal data pipeline architecture
Working alongside Cloud Data Engineers, Cloud System Developers and Cloud Enablement manager to implement Data Engineering solutions
Collaborating with the customer’s data scientists and data stewards during workshop sessions to uncover more detailed business requirements related to data engineering
Qualifications and Requirements:
●13 + experience with data requirements, data modeling concepts, data integration, master data management, metadata management, and business intelligence analytics, tools, protocols and practices.
●6+ years of Hands on experience and commanding knowledge in AZURE/AWS Cloud architecture and solution.
●5+ year of Hands on experience in Azure Synapse, AAS, SQL DW, SQL Server, ADF, ADLS Power BI desktop.
●5+ years of hands on experience in ETL tools like, AWS Glue, BODs, Azure Data Factory, Talend. And Excellent understanding of Databricks.
3+ years of experience in providing Architecture solution.
Desired Professional Cloud certification on Azure or AWS.
Understanding of cloud governance tools and framework
Understanding of metadata driver data ingestion framework for cloud.
●Experience with building data warehouses, marts in AWS/Azure using appropriate services and cloud offerings, business intelligence reports and operational systems.
●Experience with variety of databases e.g. Cosmos DB, Mongo DB, Teradata, Oracle, Maria DB, Snowflake
●Experience building architectural patterns at scale, including thoughtfullydesigned data solutions, repeatable data pipelines, and efficient software engineering principles.
●Sound understanding of CI/CD, infrastructure engineering and building future ready technology solutions.