Description

You will design and implement the enterprise data strategy roadmap across data warehouses, data lakes, and lakehouses.

Responsibilities

• Create and evolve data architecture blueprints and reference architectures for current and future states.
• Design conceptual, logical, and physical data models to support enterprise-wide scalability and integrity.
• Collaborate with ETL and reporting teams to implement data profiling and quality management rules.
• Partner with security and legal functions to establish data classification, access management, and privacy controls.
• Work with DBAs to optimize Oracle database systems and integrate visualization tools with existing data sources.

Required Skills

• 5+ years of experience architecting on-prem and cloud-based enterprise data solutions.
• Proven expertise in delivering end-to-end data solutions including Data Warehousing, BI, and Big Data.
• Proficiency with IBM DataStage and MuleSoft.
• Experience managing structured and unstructured data via batch and real-time integrations.
• Working knowledge of Oracle database systems.
• Experience with data visualization tools including Tableau, Cognos Analytics, and PowerBI.
• Technical proficiency in Python, Java, and AWS.

Preferred Skills

• Deep knowledge of data process modeling and enterprise data governance frameworks.

Key Skills

Education

Bachelor's degree in Computer Science