Description

You will define and maintain the enterprise data architecture, models, and standards.

Responsibilities

• Define and maintain enterprise data architecture, models, and standards.
• Design data warehouses, data lakes, and lakehouse architectures.
• Establish data integration, ingestion, and transformation patterns.
• Ensure data security, privacy, and compliance (GDPR, HIPAA, SOX, etc.).
• Translate business requirements into scalable data solutions.

Required Skills

• 7+ years of experience in data architecture or data engineering.
• Strong expertise in data modeling and database design.
• Hands-on experience with data warehousing and analytics platforms.
• Proficiency in SQL and strong understanding of data integration patterns.
• Experience designing large-scale, high-performance data systems.
• Familiarity with data governance, data quality, and master data management strategies.

Preferred Skills

• Cloud experience with AWS (Redshift, Glue, S3), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow).
• Experience with ETL/ELT tools (Informatica, Talend, dbt, Airflow).
• Knowledge of big data technologies (Spark, Hadoop, Kafka).

Key Skills

Education

Highschool, Undergraduate, Associate Degree, Bachelors Degree, Masters Degree, PHD