Senior Databricks Engineer
New
Fully remoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 8 years professional experience in data engineering or data platform development is required. Minimum of 5 years of hands-on experience with Databricks and Apache Spark in production environments is required.
- Required Skills
- AWSSQLGCPSnowflakeAzureSparkDatabricks
Requirements
- Bachelors degree or equivalent
- Minimum of 8 years professional experience in data engineering or data platform development
- Minimum of 5 years of hands-on experience with Databricks and Apache Spark in production environments
- Demonstrated expertise with Snowflake
- Demonstrated expertise with Apache Iceberg
- Strong proficiency in SQL and experience optimizing queries on large, distributed datasets
- Proven experience with cloud-based data platforms (Azure preferred; AWS or GCP acceptable)
- Strong understanding of data modeling
- Strong understanding of ETL/ELT pipelines
- Strong understanding of data governance practices
- Experience implementing Unity Catalog or CI/CD pipelines for data workflows (preferred)
- Experience in life sciences, biotech, or manufacturing environment (preferred)
- Strong interpersonal and communication skills
Responsibilities
- Architect, build, and optimize data solutions that support Thermo Fisher Scientific’s digital transformation strategy.
- Build connections and workflows within cloud-based systems.
- Build, develop, and deploy scalable data pipelines and ETL/ELT processes using Databricks.
- Engineer robust data solutions to integrate enterprise data sources, including ERP, CRM, laboratory, and manufacturing systems.
- Develop reusable frameworks and templates to accelerate data delivery and ensure consistency across domains.
- Implement and maintain high-performance data connections across Databricks, Snowflake, and Iceberg environments.
- Author and optimize complex SQL queries, transformations, and data models for analytics and reporting use cases.
- Support data Lakehouse and data mesh initiatives to enable seamless access to trusted data across the organization.
- Apply data governance, lineage, and security controls using Unity Catalog, Delta Live Tables, and related technologies.
- Partner with compliance and cybersecurity teams to uphold data privacy, GxP, and regulatory standards.
- Establish monitoring, auditing, and optimization processes for ongoing data quality assurance.
- Collaborate with data scientists, architects, and business partners to build and implement end-to-end data solutions.
- Serve as a technical mentor and leader with vision within the CRG data engineering community.
- Contribute to critical initiatives for digital platform modernization and advanced analytics enablement.
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