Description

You will design and build enterprise-scale data architectures and pipelines.

This role is on-site.

Responsibilities

• Design dimensional, Data Vault, and schema models for cloud data warehouses.
• Build and maintain ETL/ELT pipelines using Spark, Databricks, and PySpark.
• Implement data streaming solutions with Kafka or Kinesis.
• Manage orchestration workflows using Airflow and dbt.
• Define and enforce data security, IAM, and encryption standards.

Required Skills

• 6+ years of experience in Data Engineering or Data Architecture.
• Strong expertise in data modeling and schema design.
• Hands-on experience with Snowflake, Redshift, or BigQuery.
• Proficiency in Python or Scala and advanced SQL.
• Experience with AWS cloud platforms.
• Knowledge of IAM, encryption, and data security best practices.
• Strong stakeholder communication and architecture decision-making skills.

Preferred Skills

• Experience with Terraform, Kubernetes, and Docker.
• Familiarity with data governance tools for lineage and cataloging.
• Certifications such as AWS Architect, Databricks, Snowflake, or CDMP.

Key Skills

Education

Any Gradute