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.

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. 

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 
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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 
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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