Description

Design and develop scalable enterprise data architectures, including cloud-based platforms and modern data ecosystems.

This role is on-site.

Responsibilities

• Create and maintain conceptual, logical, and physical data models.
• Architect cloud-based data platforms and modern data ecosystems.
• Define data integration, migration, and modernization strategies.
• Establish data governance, quality, security, and compliance standards.
• Collaborate with business stakeholders, architects, and engineering teams.

Required Skills

• 12+ years of experience in Data Architecture, Data Engineering, or Data Warehousing.
• Strong expertise in data modeling (Conceptual, Logical, and Physical).
• Hands-on experience with SQL and databases: Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Teradata, or DB2.
• Experience designing Data Warehouses, Data Lakes, and Lakehouse architectures.
• Knowledge of ETL/ELT frameworks and data integration methodologies.
• Experience with cloud platforms (AWS, Azure, and/or GCP).
• Knowledge of Big Data technologies: Spark, Databricks, Kafka, and Hadoop.
• Understanding of data security, compliance, and best practices.

Preferred Skills

• Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery.
• Familiarity with Data Mesh, Data Fabric, and modern data architecture frameworks.
• Cloud or Data-related certifications preferred.

Key Skills

Education

Bachelor's degree