About this role
Oversee data engineering solutions at an organizational level. Lead high-impact data initiatives. Ensure alignment of data practices with organizational goals. Provide executive-level strategic guidance.
- Own enterprise data architecture across conceptual, logical, and physical models, including data standards, naming conventions, and best practices.
- Design reusable architecture patterns (CDC ingestion, SCD handling, lakehouse/warehouse layers, medallion architecture) and architect scalable ETL/ELT + ingestion frameworks for end-to-end integration and transformations.
- Build and optimize warehouse/datamart architectures for analytics and reporting with strong focus on performance tuning (partitioning, clustering, indexing, query optimization).
- Ensure data governance, quality, lineage, metadata management, and secure access controls (RBAC, encryption, masking).
- Drive architecture reviews, technical decisions, and create/maintain documentation (architecture diagrams, data flows, ERDs, integration specs) ensuring alignment with enterprise standards.
- Collaborate with business stakeholders, data engineers, cloud, and BI teams to translate requirements into validated solutions.
- Client-facing role with end-to-end ownership of data architecture and delivery in a high-stakes, high-impact environment.
Bachelor's or Master's degree in Data Science, Computer Science, or related field. 8-12 years of experience in data engineering or related field.