Description

You will lead the architecture, design, and implementation of enterprise data warehouse platforms.

Responsibilities

• Translate business requirements into scalable data models, data pipelines, and analytical structures.
• Build data architecture blueprints, conceptual/logical/physical data models, and documentation.
• Oversee ETL/ELT pipeline development and performance tuning across data ingestion, transformation, and integration.
• Design, implement, and optimize data storage strategies for structured, semi-structured, and unstructured data.
• Mentor engineering teams, review solution designs, and provide guidance on technical decisions.

Required Skills

• 12+ years of experience in data warehousing, data architecture, and enterprise data systems.
• Strong expertise in data modeling (dimensional modeling, star schema, snowflake, normalization).
• Hands-on experience with database platforms including Oracle, SQL Server, Teradata, DB2, or Netezza.
• Proficiency in ETL/ELT tools such as Informatica, DataStage, Talend, SSIS, or Matillion.
• Advanced SQL performance tuning and query optimization skills.
• Experience with cloud data platforms such as AWS Redshift, Azure Synapse, Snowflake, or Google BigQuery.
• Strong understanding of data governance, MDM, metadata, lineage, and data quality concepts.
• Experience leading data architecture strategy and technical roadmap planning.

Preferred Skills

• Experience with Kafka and Spark for real-time data streaming and processing.

Key Skills

Education

Bachelor's or Master's degrees