7 дней назад
Senior Manager, Data Engineering
134 750 - 192 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (Databricks/AWS): Architecting scalable cloud-based lakehouse and warehouse solutions, enterprise data models, and high-performance batch and real-time pipelines with an accent on data quality, governance, security, and DataOps. Focus on building reliable data foundations for AI and advanced analytics while leading and mentoring a technical data engineering team.
Location: USA - CA - San Jose (Ridder)
Salary: $134,750–$192,500
Company
develops advanced photonic technologies and optical products for AI, data centers, telecom, industrial, and sensing applications.
What you will do
- Architect and implement scalable cloud-based lakehouse and warehouse solutions using Databricks and AWS.
- Design and optimize enterprise data models and build high-performance batch and real-time ETL/ELT pipelines.
- Implement data quality frameworks, monitoring, orchestration, and pipeline automation.
- Establish CI/CD pipelines and DataOps practices for secure, automated deployments.
- Implement data governance standards covering cataloging, lineage, metadata management, security, and access control.
- Lead and mentor data engineers while setting technical standards and engineering best practices.
Requirements
- 10+ years of experience in data engineering, data architecture, or a related field.
- 5+ years of experience leading and developing technical teams.
- Deep expertise in SQL, cloud data platforms, and distributed data processing frameworks.
- Hands-on experience with Databricks, Snowflake, Redshift, or BigQuery.
- Experience with Alteryx, Informatica, orchestration tools, and data pipeline automation.
- Strong understanding of dimensional modeling, semantic layers, and scalable, secure enterprise data solutions.
Culture & Benefits
- Full-time employment with competitive total compensation.
- Potential annual bonus, equity, and health and welfare benefits.
- Collaborative environment focused on data excellence, accountability, and continuous innovation.
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