Description

You will design and implement enterprise data architecture, including data lakes, warehouses, and pipelines.

This role is on-site.

Responsibilities

• Design and maintain conceptual, logical, and physical data models.
• Define data governance, standards, and best practices to ensure quality, integrity, and security.
• Lead the selection and implementation of data platforms, optimizing systems for performance and scalability.
• Guide teams on ETL/ELT processes, data integration, and migration strategies.
• Mentor junior data engineers, analysts, and architects while aligning data strategy with business needs.

Required Skills

• 12+ years of experience in data engineering, data architecture, or related roles.
• Strong expertise in data modeling and database design.
• Hands-on experience with cloud platforms: AWS, Microsoft Azure, Google Cloud.
• Proficiency in SQL and NoSQL databases.
• Experience with big data technologies such as Apache Hadoop and Apache Spark.
• Familiarity with ETL tools (e.g., Informatica, Talend) and data visualization (Tableau, Power BI).
• Experience leading technical teams or projects in large-scale data systems.

Preferred Skills

• Experience with AI/ML data pipelines and emerging technologies.
• Knowledge of data governance frameworks and industry-specific regulations (GDPR, HIPAA).
• Certifications in cloud platforms (AWS, Azure, GCP).

Key Skills

Education

Bachelor's or Master's degrees