Senior Databricks Engineer- fully remote

Work Schedule

Environmental Conditions

Job Description

What will you do in this role

The Senior Databricks Engineer will architect build and optimize data solutions that support Thermo Fisher Scientifics digital transformation strategy. As a vital contributor to the CRG Digital Platform and Architecture team this position will be responsible for building connections and workflows within cloud-based systems.

The successful candidate will have extensive knowledge in Databricks Apache Spark Snowflake Iceberg and SQL along with a detailed understanding of cloud-native data architectures. This position requires both hands-on technical ability and strategic insight to enable scalable secure and impactful data environments across the enterprise.

Data Engineering and Architecture.

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.

Cross-Platform Data Integration

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.

Governance Quality and Security.

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.

Qualification Requirements:

Education requirements:

Bachelors degree or equivalent

In some cases an equivalency consisting of a combination of appropriate education training and/or directly related experience will be considered sufficient for an individual to meet the requirements of the role.

Experience requirements:

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.

Demonstrated expertise with Snowflake and Apache Iceberg is required.

Strong proficiency in SQL and experience optimizing queries on large distributed datasets is required.

Proven experience with cloud-based data platforms (Azure preferred; AWS or GCP acceptable) is required.

Strong understanding of data modeling ETL/ELT pipelines and data governance practices is required.

Experience implementing Unity Catalog or CI/CD pipelines for data workflows is preferred.

Experience in life sciences biotech or manufacturing environment is preferred.

Strong interpersonal and communication skills with ability to collaborate across global and multi-disciplinary teams is preferred.

Knowledge Skills and Abilities:

Strong technical skills in Databricks Spark SQL Snowflake and Frozen Mountain.

Solid understanding of distributed computing performance optimization and large-scale data processing.

Proven track record translating business requirements into scalable data architectures.

Excellent problem-solving and analytical skills; strong attention to detail.

Proficiency in leading through example mentoring junior engineers and championing standard procedures within the data engineering realm.

Comfortable working in a fast-paced matrixed environment with evolving priorities.

Location: Fully remote. Relocation assistance is NOT provided.

*Must be legally authorized to work in the United States withoutsponsorship.

*Must be able to pass a comprehensive background check whichincludes a drug screening.

Our Mission is to enable our customers to make the world healthier cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100000 colleagues we share a common set of values - Integrity Intensity Innovation and Involvement - working together to accelerate research solve complex scientific challenges drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific where diverse experiences backgrounds and perspectives are valued.

Apply today!

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race color religion sex sexual orientation gender identity national origin protected veteran status disability or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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