
Data Platform Architect
1 day ago
We are seeking a seasoned professional to design and scale enterprise-grade data platforms. This role is ideal for individuals with extensive expertise in ETL, Cloud, Data Warehousing, and Big Data ecosystems.
Job Requirements:- Data Pipeline Design: Develop efficient ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
- Cloud & Big Data Solutions: Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing large datasets.
- Data Modeling & Governance: Create robust schemas, enforce security best practices, and ensure compliance with regulatory standards.
- Leadership & Collaboration: Mentor junior engineers, collaborate with analysts and 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.
Required Skills:
- Programming Languages: 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: Data modeling, governance, and compliance
- Proven track record: End-to-end project delivery and enterprise data integration
This role plays a crucial part in shaping our data strategy and driving business growth through data-driven insights. If you are passionate about data engineering and excited about the opportunity to work with a talented team, we encourage you to apply for this confidential position.
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