Lead the strategy, design, and modernization of our enterprise data landscape, operating at the intersection of data architecture, engineering, and AI enablement
Job Summary
Lead the strategy, design, and modernization of our enterprise data landscape, operating at the intersection of data architecture, engineering, and AI enablement.
Architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data, and evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security.
Develop data literacy enablement through workshops and office hours, and mentor data engineers and architects focusing on systems thinking and stakeholder communication.
Matching Summary
Lead the strategy, design, and modernization of our enterprise data landscape, operating at the intersection of data architecture, engineering, and AI enablement.
Skills & Requirements
Must-have
Data strategy and roadmap
Master Data Management strategy
Cross-cloud data integration
AI-powered data observability platforms
Data lineage strategy
Automated data quality frameworks
Nice-to-have
Product thinking for data platforms
Build architecture community of practice
Data literacy enablement
Influence without authority
Technical pragmatism
Key Requirements
12+ years in IT
7+ years in Data Architecture, Data Engineering, or Enterprise Architecture
10+ years across data architecture, data engineering, database management, analytics, or cloud infrastructure
Proven ability to architect solutions bridging Data Lakes and Warehouses in separate clouds
Hands-on experience with Master Data and data lineage tools
Experience evaluating or implementing AI/ML tools for data quality monitoring
Proven success reducing data latency using CDC, streaming, or real-time integration patterns
Proficient in SQL and Python
Experience with modern data platforms (Snowflake, Databricks, BigQuery, or similar)
Led architecture for large-scale implementations
Experience managing vendor evaluations
Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field