Description

You will define and drive the enterprise data architecture, standards, and long-term roadmap.

This role is hybrid.

Responsibilities

• Design and implement data lakes, data warehouses, and real-time data pipelines.
• Architect and optimize cloud-based data platforms (AWS, Azure, or GCP).
• Lead data modeling efforts including conceptual, logical, and physical models.
• Establish data governance, security, MDM, and data quality frameworks.
• Drive ETL/ELT design, integration, and large-scale data migration strategies.

Required Skills

• 12+ years of experience in data architecture and enterprise data solutions.
• Strong hands-on experience with Snowflake, Redshift, Synapse, or BigQuery.
• Deep expertise in SQL, data modeling, and distributed data systems.
• Experience with ETL/ELT and big data tools (Spark, dbt, Informatica, or similar).
• Proven background in enterprise-scale data transformation programs.
• Proficiency in AWS, Azure, or GCP data services.

Preferred Skills

• Experience with Any Graduate education level in relevant technical fields.

Key Skills

Education

Any Gradute