Own end-to-end data and AI solution architecture across modern cloud data platforms
Design and implement enterprise data architectures across SOO → SOR → CDM (Curated) layers
Lead core Data Architecture disciplines, including:
conceptual, logical, and physical data modeling; MDM and reference data; metadata, lineage, and governance
Design and build scalable batch and real-time data pipelines using lakehouse and warehouse patterns
Enable and support AI / ML use cases on data platforms, including feature engineering, model integration, orchestration, and monitoring
Provide architectural leadership on production-grade systems, covering CI/CD, security, performance, and observability
Partner with engineers, delivery teams, and client stakeholders to align on architectural tradeoffs and delivery decisions
Act as a proactive thought partner, identifying opportunities for simplification, acceleration, and AI-driven value creation

8+ years of experience in Data Architecture, Solution Architecture, or Data Engineering roles
Strong consulting background with experience delivering complex, client-facing initiatives
Deep hands-on expertise in SQL and Python
Proven experience designing and delivering data pipelines and orchestration (Airflow, ADF, dbt)
Experience with distributed data processing (Spark)
Strong track record designing SOO / SOR / CDM architectures and dimensional data models
Solid understanding of lakehouse and data warehouse patterns
Cloud implementation experience in Azure, AWS, or GCP (at least one at production scale)
Practical experience delivering AI-enabled solutions to production, not just experimentation
Comfortable operating across multiple workstreams in fast-moving, ambiguous environments
Clear communicator, able to explain complex technical concepts to both technical and non-technical audiences
Strong ownership mindset with a bias toward execution

Data Architect

Key skills