Description

You will define and own the enterprise data architecture strategy aligned with business goals.

Responsibilities

• Design scalable, secure, and high-performance data platforms (OLTP, OLAP, streaming, and analytics).
• Lead architecture for data lakes, data warehouses, and lakehouse solutions.
• Establish standards for data modeling, integration, governance, and metadata management.
• Collaborate with business, analytics, engineering, and security teams to deliver data solutions.
• Review and approve data designs, pipelines, and storage solutions.

Required Skills

• 15+ years of experience in data architecture or enterprise data design.
• Strong expertise in data modeling (conceptual, logical, physical).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native data services.
• Deep knowledge of data warehouses and lakehouse technologies (Snowflake, Redshift, BigQuery, Synapse, Databricks).
• Experience with ETL/ELT tools (Informatica, Talend, dbt, Airflow).
• Strong SQL skills and experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Knowledge of real-time and streaming data architectures (Kafka, Kinesis, Spark Streaming).
• Experience with data governance, MDM, metadata management, and security frameworks.
• Understanding of analytics, BI, and AI/ML data requirements.

Key Skills

Education

Bachelor's degree