Job Summary

We are seeking a Principal – Information Architect & Data Modeling expert to define, design, and govern our enterprise information architecture. The ideal candidate will be a thought leader who sets industry-aligned standards for data modeling and architecture, driving data interoperability, semantic consistency, and enterprise data governance. This role is central to enabling our cloud-native, AI-enabled data platform vision and ensuring trusted, high-quality data is available for business insights and innovation. 

Responsibilities 

Information Architecture & Data Modeling 

• Design conceptual, logical, and physical data models for cloud data platforms, ensuring scalability, performance, and flexibility

• Develop and maintain canonical data models (CDM), shared taxonomies, and semantic models for assigned business domains

• Translate business requirements into well-structured data models that support operational, analytical, and AI/ML use cases

• Partner with engineering teams to design data contracts, APIs, and integration patterns that ensure data consistency across services

Data Architecture Design 

• Contribute to the development of domain-specific data architectures that align with enterprise data strategies and cloud platform standards

• Design and guide implementation of data lake, data warehouse, and lakehouse solutions using platforms such as GCP BigQuery, Dataplex, Dataflow or equivalents

• Support the integration of AI/ML models into data pipelines with a focus on data readiness, lineage, and governance

Data Governance & Quality 

• Ensure data models and designs align with governance, security, and compliance requirements (e.g., GDPR, CCPA)

• Collaborate with data governance teams to implement metadata standards, data quality rules, and lineage tracking

• Support stewardship processes to maintain model integrity and alignment with evolving business needs

Collaboration & Influence 

• Act as a technical leader and subject matter expert on data modeling and information architecture for engineering, analytics, and business teams

• Participate in architecture reviews, providing guidance on data design decisions and best practices.

• Contribute to the definition and enforcement of data architecture standards across assigned domains

Qualifications 

• Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field

• 10+ years of experience in data modeling, information architecture, or data engineering, including 2+ years in an architecture or principal-level role

• Strong proficiency in programming languages such as Python, Java, or Scala, and experience with SQL

• Proven experience in designing and implementing data architectures, ETL processes, and MLOps practices

• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying ML models in production

Strong expertise in: 

• Data modeling techniques: relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph models

• Cloud-native data architecture: GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalents

• Semantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform)

• Data governance, lineage, and metadata management practices

Solid experience with: 

• Defining data contracts and API data schemas

• Supporting data quality frameworks and data stewardship

• Designing cloud-native data solutions that balance performance, cost, and scalability

• Excellent problem-solving, communication, and stakeholder collaboration skills

Preferred Qualifications 

• Experience implementing data architectures in a data mesh, data fabric, or lakehouse environment

• Hands-on experience with modern catalog, lineage, and observability tool

• Familiarity with MLOps pipelines and AI/ML data requirements

What You Bring 

• Passion for designing data solutions that enable trust, reuse, and agility

• Ability to translate complex data concepts into actionable solutions

• Strong sense of ownership, with a focus on delivering high-quality architectures that stand the test of time