
Senior Enterprise Data Architect
1 day ago
Our data engineering team is seeking a seasoned professional to lead the development and scaling of enterprise-grade data platforms.
Key Responsibilities- Data Pipeline Design & Optimization: Develop ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
- Cloud & Big Data Solutions Architecture: Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.
- Data Modeling & Governance: Create robust schemas, ensure compliance (GDPR/HIPAA), and enforce security best practices.
- Leadership & Collaboration: Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.
- Performance & Security: Optimize queries, implement RBAC & IAM, and ensure disaster recovery/high availability standards.
What We're Looking For:
- Technical Expertise:
- Programming: Python (primary), SQL (expert), Java (good-to-have)
- Platforms: AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, Kafka
- Tools: Airflow, StreamSets, DBT
- Databases: MS SQL Server, MySQL, Hive, HBase
- Strong experience in data modeling, governance, and compliance.
- Proven track record in end-to-end project delivery and enterprise data integration.
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