
Sr. Principal – Information Architect
- Dallas, TX
- Permanent
- Full-time
- Establish and evolve enterprise information architecture frameworks that align with industry standards.
- Define canonical data models (CDM), shared taxonomies, and reference architectures for use across systems, domains, and APIs.
- Lead the development of enterprise data blueprints for operational, analytical, and AI/ML use cases.
- Drive adoption of data-as-a-product and domain-driven design (DDD) principles to support distributed data ownership.
- Set and enforce standards for conceptual, logical, and physical data modeling following best practices (e.g., 3NF, Dimensional Modeling, Data Vault 2.0).
- Lead design reviews to ensure data normalization, referential integrity, metadata completeness, and lineage traceability.
- Champion semantic model design (Looker Modeler / LookML, dbt, Dataform, etc.) for analytics and self-service BI.
- Design and evolve data contracts, ensuring consistency and governance across microservices and data pipelines.
- Architect and oversee cloud-native data solutions on GCP (BigQuery, Dataplex, Dataflow, Pub/Sub, Looker Modeler) or equivalent cloud platforms.
- Ensure alignment of data architecture with MLOps pipelines, real-time data streaming, and AI/ML readiness.
- Promote automation-first approaches for schema management, model validation, and metadata curation.
- Define and implement enterprise data governance standards integrating lineage, stewardship, and data quality KPIs.
- Ensure compliance with regulatory frameworks (e.g., GDPR, CCPA, HIPAA) through model design and data classification strategies.
- Collaborate with Governance and Security teams to embed privacy-by-design and security-by-design principles in data architecture.
- Serve as a key advisor to senior leadership on data architecture decisions and data-driven transformation.
- Partner with engineering, analytics, AI/ML, business, and governance teams to ensure architecture meets evolving needs.
- Translate complex architecture concepts into actionable roadmaps and communicate effectively at all levels of the organization.
- Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.
- 12+ years of experience in enterprise data architecture, data modeling, or information architecture, including 3-5 years at a senior principal, chief architect, or equivalent level.
- 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.
- Demonstrated expertise in:
- Data modeling techniques: relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph models.
- Information architecture frameworks: TOGAF, DAMA-DMBOK, DCAM, CDMC.
- Cloud-native data architecture: GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalents.
- Semantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform).
- Metadata management, data lineage, and master/reference data management (MDM/RDM).
- Strong knowledge of:
- Data governance tools (Collibra, Informatica, Dataplex, Alation, etc.).
- Regulatory compliance (GDPR, CCPA, HIPAA) and data privacy principles.
- Data contracts, API data modeling, and domain-driven design (DDD).
- Experience leading data architecture for:
- Data lakehouses, data mesh/data fabric architectures, and multi-cloud strategies.
- Integration of AI/ML solutions into data architectures.
- Exceptional communication, leadership, and stakeholder management skills.
- Experience implementing data products in a data mesh or federated architecture.
- Hands-on experience with modern catalog, lineage, and observability tools.
- Experience with event-driven architectures and real-time data streaming patterns.
- You think strategically while remaining hands-on where needed.
- You balance rigor in data design with pragmatism for fast-changing business needs.
- You bring thought leadership in emerging data architecture trends and future-ready solutions.