Description

You will design and implement data solutions, architectures, and data flow processes to meet enterprise requirements.

Responsibilities

• Design and implement data models, schema designs, and ETL/data pipeline processes.
• Optimize data storage, processing, and performance tuning for data warehouses and models.
• Define data strategy and roadmaps, including migration, master data management, and architecture standards.
• Own governance of data architecture principles and ensure compliance across delivery teams.
• Mentor ETL developers and conduct code reviews to maintain engineering standards.
• Collaborate with stakeholders and architects to align data solutions with enterprise architecture.

Required Skills

• 10+ years of experience in data modeling, streaming data, and data architecture for operational and analytical datastores.
• Proficiency in SQL Server and various Cloud platforms.
• Strong experience with the Microsoft Azure Cloud stack.
• Advanced coding skills in SQL and Python.
• Expertise in data modeling and schema design using Erwin, PowerDesigner, ArchiMate, or Lucidchart.
• Experience with data governance and lineage tools like Microsoft Purview, Informatica, or Collibra.
• Ability to reverse engineer existing databases and recreate data models.
• Proven leadership and mentoring experience for data engineering teams.
• Bachelor's degree in Computer Science, IT, or a related field.

Key Skills

Education

Bachelor's degree