Data/Information Architect

Overview We are seeking an experienced Data Architecture Lead who can operate at the intersection of enterprise architecture, cloud data engineering, and business transformation. This is not a pure Enterprise Architect role and not a hands-on Data Engineer role. The ideal candidate will bridge technical architecture with business needs, driving scalable enterprise data solutions while influencing senior stakeholders across the organization. This role is highly client-facing and requires strong leadership, communication, and cross-functional coordination capabilities.

Requirements Key Responsibilities Enterprise Data & Information Architecture • Design and define enterprise-wide data architecture strategies and scalable information models. • Develop logical and physical data models aligned with business and technical requirements. • Architect reusable data products, scalable data consumption layers, schemas, views, and enterprise datasets. • Define best practices for data provisioning, integration, and enterprise data management. • Ensure architecture standards support scalability, performance, governance, and long-term maintainability. Cloud Data Platform Architecture • Lead architecture and solution design initiatives on cloud data platforms, with strong focus on Snowflake. • Design and optimize: o enterprise datasets o data transformations o views o performance tuning strategies o scalable consumption models • Collaborate with engineering teams to ensure architectural alignment and implementation feasibility. Data Quality & Governance • Define and support enterprise data quality and governance frameworks. • Drive initiatives related to: o data governance o master data management o rule engines o issue remediation workflows o data quality monitoring • Work closely with governance and business teams to improve data reliability and consistency. • Experience with Ataccama is highly preferred. • Alternative experience with Informatica DQ, Collibra, Talend DQ, or Informatica MDM is also acceptable. Enterprise Integration & Connectivity • Design enterprise integration strategies across business-critical systems. • Work with SAP data structures, APIs, and enterprise data pipelines. • Understand and model cross-system relationships and master data flows. • Support integrations across S/4HANA, supply chain platforms, and enterprise operational systems. Stakeholder Leadership & Business Translation • Lead architecture discussions with business and technology stakeholders. • Translate complex technical concepts into business-friendly recommendations. • Influence senior leadership and challenge design decisions where appropriate. • Coordinate across architecture, engineering, business, and delivery teams. • Drive alignment between enterprise strategy and technical execution.

Responsibilities Required Skills & Experience Mandatory Skills • Strong experience in Enterprise Data Architecture / Information Architecture. • Expertise in: o logical and physical data modelling o data integration architecture o data provisioning o reusable data products o scalable data consumption layers • Strong hands-on architectural experience with Snowflake. • Deep understanding of: o data modelling o transformations o enterprise datasets o views o platform performance optimization • Strong understanding of: o SAP data structures o API integrations o enterprise data pipelines o cross-system integrations Preferred Skills • Experience with data governance and data quality platforms such as: o Ataccama o Informatica DQ o Collibra o Talend DQ o Informatica MDM • Exposure to: o SAP S/4HANA o supply chain systems o master data environments o enterprise data programs ________________________________________ Domain Experience (Preferred) Experience in one or more of the following domains is highly preferred: • Pharma • Supply Chain • Manufacturing • Master Data Management • Enterprise Data Transformation Programs ________________________________________ Seniority Requirements • 10–15+ years of overall IT/Data experience • 5+ years in architecture-focused roles • 3+ years working with cloud data platforms ________________________________________ Ideal Candidate Profile The ideal candidate is a strategic and consultative data architecture leader who can: • balance architecture vision with delivery practicality • work effectively across technical and business teams • lead enterprise data transformation initiatives • influence stakeholders at multiple organizational levels • drive scalable and governed enterprise data ecosystems

Benefits RRSP Healthcare/Dental Wellness Benefit Paid Vacation Days Professional development – continuous learning opportunities and internal mobility. Comprehensive benefits – enjoy Udemy for Business and Worksmile platform. Flexibility – adaptable working hours and remote/hybrid work options. Innovative environment – be part of a forward-thinking, growth-oriented workplace. Team-building traditions – including our annual company event. Career growth – access professional development through partnerships with Microsoft, AWS, Snowflake, Salesforce , and more. Project diversity – opportunity to work with global clients across sectors and technologies. Engaging community – participate in team-building events, hackathons, and CSR initiatives.