Data Architect

Enterprise Solutions • Kennedy, SK, Canada • 21h ago

Role: Data Architect

Location: remote

Type: Contract

"What you do:

Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
Defining the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees
Defining reference architecture, which is a pattern others can follow to create and improve data systems
Defining data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition
Identify and address performance bottlenecks and scalability issues in the product. Also, understanding on how to fix the performance w.r.t any data store
Hands on expertise on AWS. Working with different data stores in AWS
Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors
Good exposure on DataBricks, BigQuery and MongoDB is a plus

You'll be expected to have:

Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent practical experience).
12+ years of hands-on experience in software development, designing with a strong focus on architecture.
Proven experience as a technical leader or architect in complex software projects.
Strong knowledge with SQL, Python languages
Deep expertise in AWS services and cloud-native development.
Strong proficiency in BigQuery, DataBricks, MongoDB or any DataWarehouse for data analytics and warehousing.
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Exceptional problem-solving and analytical skills.
Excellent communication and teamwork abilities.
AWS certifications (e.g., AWS Certified Solutions Architect) are a plus.

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