Data Architect with AWS Data Lake & Redshift

Ward Technology Talent Inc.; Ontario; On-site; CAD 90,000 - 130,000; Full time

Job summary

A dynamic technology firm is looking for a Data Architect to join their team on a contract basis. The role involves providing technical leadership and crafting data architecture that enhances data accessibility and security. Successful candidates will work with AWS technologies to implement solutions that meet evolving data management challenges.

Qualifications

• Expertise in data architecture and AWS technologies required.
• Experience with data modeling and architecture standards necessary.
• Strong analytical skills to support business data needs.

Responsibilities

• Provide data architecture direction for the Data Hub project.
• Collaborate with stakeholders to gather input on data solutions.
• Implement data assets in AWS environment and design patterns.

Skills

Data architecture

AWS technologies

Big Data

Data modeling

Infrastructure management

Tools

AWS S3

Redshift

Informatica

Job description

Data Architect with AWS Data Lake & Redshift – Contract

Responsibilities (Services) :

The contractor will be expected to provide the following services and deliverables :

• As a member of the Applied Architecture group and working for the Data Hub project as a Data Architect, provides data architecture direction and delivers required architectural artifacts;
• Works closely with various internal business and technical stakeholders to gather their input on data concepts and solutions;
• Works with the Business areas to understand their needs and translate those needs into the appropriate conceptual, logical and physical data models
• Implement the Data Assets in the Hub Data Lake / Warehouse environment (S3, Redshift, Redshift Spectrum, Glue, Athena, EMR) and Informatica Data Management platform (BDM, BDQ, EDC, Axon);
• Develop data architectural standards, design patterns and schemas and conduct reviews to ensure their implementation.
• Review existing data architectures, provide feedback and work on relevant Reference Architectures.
• Contribute to the development of the overall architecture of the Data Hub platform and supporting technologies including data management platforms, information access, and health information applications.
• Provide subject matter expertise and technical leadership on the data architecture discipline. Ensures that data solutions exhibit high levels of performance, consistency, security, scalability, redundancy, maintainability, appropriate reusability and reliability;
• Ensures interoperability, performance and scalability, reliability and availability, data consistency, cost effectiveness, and technological risks are all addressed in the data architecture;
• Ensure solutions are documented and communicated effectively for their intended audiences;
• Support redesign and optimize Data Pipeline based on AWS Big Data technologies.
• Support Reference Implementation for optimized Data Pipeline
• Leverages Client strategic plan, goals, objectives, policies and procedures in creation of enterprise data architecture deliverables;

Overview

The Client’s Hub will implement an overarching architecture that holistically integrates, transforms and shares data. This architecture will address the Client’s current data management problems and has the following goals :

• Increase Client’s data handling capacity by orders of magnitude (provide more data to consumers)
• Make data accessible, shareable and understandable (democratize data and increase value extraction)
• Provide data security and data access auditing
• Streamline and automate data flows and business processes
• Ability to adjust system capacity to meet variable demand
• Support remarkable customer experiences with Company data

The vision of a Data Hub is based on many years of Client experience combined with modern data management paradigms. Data Hub is an architectural ecosystem based on “Big Data”, Cloud and BI / Data visualization technologies that enables the Client to solidify its position in today’s data-first world.