Description

You will architect and implement complex data solutions across the enterprise.

This role is hybrid.

Responsibilities

• Design and implement ETL and reverse-ETL patterns to handle data from diverse sources and formats.
• Lead enterprise assessments, define data quality roadmaps, and oversee implementation.
• Develop and manage data streams, data modeling, and relational database designs.
• Drive the practical evolution of infrastructure and processes by influencing technical direction across teams.
• Solve complex solutionist problems and lead technical discussions.

Required Skills

• 13+ years of experience in data or integration architecture.
• Expert proficiency in relational database design and advanced SQL.
• Experience with streaming, batch, and micro-batch data processing workflows.
• Hands-on experience with Python and Spark.
• Deep understanding of Data Warehousing and Data Modelling Fundamentals.
• Familiarity with ETL Fundamentals and PL/SQL.
• Proficiency in T-SQL.

Key Skills

Education

Any Gradute