Description

You will design and implement enterprise-scale data models and architectures to support data warehouse and big-data initiatives.

This role is on-site.

Responsibilities

• Lead projects involving cloud data lakes, data warehousing, and data modeling.
• Design traditional relational and modern big-data architectures based on business requirements.
• Implement modern data architectures using cloud services and real-time data distribution.
• Collaborate with data scientists, business analysts, and stakeholders in cross-functional teams.
• Ensure data security and quality through effective metadata systems and modeling techniques.

Required Skills

• 10+ years of experience in design and implementation of data models using Erwin.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Proficiency with AWS cloud services and modern data warehouse tools like Redshift, Snowflake, or Databricks.
• Experience with real-time data distribution using Kinesis, Kafka, or Dataflow.
• Hands-on experience with DB2, MS SQL Server, PostgreSQL, Couchbase, and MongoDB.
• Strong understanding of entity-relationship modeling and metadata systems.
• Experience with BI tools including Informatica, Power BI, and Tableau.
• Proven ability to design cloud data lakes and enterprise data warehouse solutions.

Key Skills

Education

Bachelor's degree