Description

You will design and own the enterprise data architecture across the organization.

Responsibilities

• Translate high-level business requirements into data models, metadata, test data, and data quality standards.
• Define and enforce data standards, guidelines, and governance processes.
• Architect enterprise data platforms including databases, data warehouses, and data lakes.
• Design and enforce data confidentiality, security, privacy, and compliance controls.
• Improve data pipeline performance, orchestration, and governance to maximize business value.

Required Skills

• 10+ years of experience designing and implementing enterprise data models (Erwin preferred).
• Strong experience leading initiatives involving cloud data lakes, data warehousing, and analytics.
• Hands-on experience with modern data architectures and cloud services, including AWS.
• Experience with modern data warehouses like Redshift, Snowflake, and Databricks.
• Proficiency with multiple database technologies: DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB.
• Strong understanding of entity-relationship modeling, metadata management, data security, and data quality.
• Experience with BI and data integration tools including Tableau and Power BI.
• Ability to design both traditional relational and modern big-data architectures.
• Excellent analytical, problem-solving, and cross-functional collaboration skills.

Key Skills

Education

Bachelor's degree