Infosys is seeking a Data Architect. This position will interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. This is an opportunity to be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications :

• Candidate must be located within commuting distance of Calgary, Alberta or be willing to relocate to the area. This position may require travel.
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of Information Technology experience.
• Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• At least 4 years of experience in data modeling, data engineering, data governance, advanced analytics with domain knowledge and exposure to industrial sectors such as Energy, Manufacturing, Petro-chemicals, Oil & Gas.
• Proven experience in designing and implementing applications that leverages maintenance, production, and process data.
• Strong skills in ETL processes, data integration tools, technique and data pipelines.
• Proficiency in languages such as Python and SQL for scripting, automation and querying data within the data platform.
• Experience working with REST APIs to integrate external data sources with data platform.
• Knowledge in define the data requirements and structure for the application.
• Experience in Data modeling and design the application data structure, storage and integration.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
• Familiarity with applying ML models, AI and analytics with the data platform environment.
• Knowledge on different source of data such as SAP data, Production and Operation data, Time series data, Engineering data.
• Understanding of Industry standards (ISA 95 and Industry 4.0) and maintenance strategies of any Manufacturing or Industry sector.
• Working knowledge in the Industrial Data platform and Engineering Analytics tools such as Cognite Data Fusion, IBM, SymphonyAI, Azure Data Factory, Databricks, Data Lake etc.
• Knowledge in application development, architectural frameworks, SDLC methodologies including Design, Development, Integration, Testing, Security, Access and others.
• Familiar in Network Topology / Database Server / Hosting components / Industrial communication protocols etc
• Good communication and coordination skills with internal and external stakeholders
• Ability to lead and mentor Data Engineers, Development and Testing teams.
• Working knowledge in the Industrial Data platform and Engineering Analytics tools such as Cognite Data Fusion [CDF], IBM, Azure Data Factory, Databricks, Data Lake etc.
• Independently manage integration, data modeling, and related activities using Cognite tools (connectors, SQL, Python/Java, Rest APIs).
• Define enterprise and solution architecture, including integration, data models, and data pipelines using CDF solution offerings.