Description

You own the direction and execution of enterprise data architecture strategies and roadmaps.

This role is on-site.

Responsibilities

• Design and establish data models, standards, and best practices for enterprise applications and analytical solutions.
• Develop architecture frameworks for data integration, master data management, metadata management, and data quality.
• Define and optimize data pipelines, storage solutions, and data workflows across cloud and on-prem environments.
• Evaluate new technologies and recommend solutions aligned with business goals.
• Mentor technical teams and provide architectural guidance through the project lifecycle.

Required Skills

• 12+ years of experience in data architecture and large-scale data solutions.
• Proven experience designing Conceptual, Logical, and Physical Models.
• Expertise in SQL, NoSQL, and data integration technologies.
• Hands-on experience with AWS, Azure, or Google Cloud platforms.
• Experience with data warehousing technologies including Snowflake, Redshift, BigQuery, Synapse, or Teradata.
• Skilled in ETL/ELT tools and data pipeline technologies (e.g., Informatica, Talend, Databricks, Apache tools).
• Strong understanding of data governance, MDM, metadata management, and data quality.
• Ability to architect scalable data and analytics environments for batch and real-time processing.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or a related field.

Key Skills

Education

Bachelor's or Master's degrees