Senior Data Engineer - Databricks Platform Lead

mitsubishichemicalgroup; United States; On-site; USD 110,000 - 145,000; Full time

Job summary

Mitsubishi Chemical America, Inc. is seeking a Senior Data Engineer to drive design, implementation, and optimization of the global Databricks data platform. You will lead lakehouse architecture, data integration, governance, and security across enterprise analytics initiatives.

You will mentor engineers, collaborate with data scientists and business partners, and help advance AI-enabled analytics while controlling costs and improving reliability.

Qualifications

• Bachelor's degree in a related field is required.
• 5+ years of hands-on SQL and Python experience.
• 5+ years of experience with cloud platforms (Azure, AWS, or GCP).
• 5+ years of Databricks development and architecture experience.
• Experience building enterprise-scale data pipelines (ETL/ELT).
• Solid understanding of data modeling, governance, and security.

Responsibilities

• Lead the design, implementation, and optimization of Databricks-based data solutions.
• Define platform architecture including lakehouse design and data governance.
• Develop scalable ETL/ELT pipelines for structured and semi-structured data.
• Build data models, data warehouses, and data marts for analytics.
• Collaborate with data scientists, analysts, and IT to translate requirements.
• Improve data quality, security, and platform reliability.
• Mentor junior engineers and promote engineering best practices.

Skills

SQL

Python

Cloud platforms

Databricks development

ETL/ELT pipelines

Data modeling & governance

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Databricks

Spark

Kafka

CI/CD

Job description

Mitsubishi Chemical America, Inc. is seeking a Senior Data Engineer to drive design, implementation, and optimization of the global Databricks data platform. You will lead lakehouse architecture, data integration, governance, and security across enterprise analytics initiatives.

You will mentor engineers, collaborate with data scientists and business partners, and help advance AI-enabled analytics while controlling costs and improving reliability.