Description

You will design and implement data architectures, modeling solutions, and unified reporting structures. You own the full lifecycle of data design and implementation.

Responsibilities

• Design data warehouse and Lakehouse architectures to generate unified reporting solutions.
• Develop ETL/ELT pipelines and data processing architectures using Lambda or Kappa patterns.
• Manage data security, provisioning, and performance tuning for warehousing solutions.
• Establish data architecture standards and governance across relational and non-relational databases.

Required Skills

• 5+ years of experience in data architecture and design.
• Hands-on experience with at least 3 full life cycle implementations using Oracle SQL and PL/SQL, MySQL, or SQL Server.
• Proficiency in ETL/ELT and data pipeline development using tools like Talend.
• Experience with scripting languages such as Python or bash.
• Knowledge of data lake house reference architectures.
• Working knowledge of distributed technologies including Spark SQL, Hadoop, Presto, Hive, Kafka, Cassandra, or Redshift.
• Understanding of data governance and security protocols.
• Ability to document and communicate technical specifications to leadership and developers.

Preferred Skills

• Experience with cloud-based platforms including Azure, GCP, or AWS.
• Proficiency with data visualization tools such as Tableau or Power BI.

Key Skills

Education

ANY GRADUATE