Senior Data Infrastructure Eng

hace 3 semanas

Amer Girona provincia, España Databricks A tiempo completo

In order to comply with U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.

As a Senior Data Infrastructure Engineer - SRE on the security data infrastructure team you will help build data infrastructure for the security team. You will build reliable, large-scale, multi-geo data pipelines to support detecting threats(internal and external threats) in Databricks systems, incident response forensics analysis and periodic compliance audits. You will build and deploy data pipelines in multi cloud (AWS, Azure and GCP) environments to process data and logs from external SaaS systems.

The impact you will have:

- Architect, build and scale infrastructure for data processing in the cloud (AWS, Azure and GCP).
- Monitor and optimize data and its infrastructure.
- Build data pipelines to collect telemetry and logs from millions of virtual machines running.
- Partner with security engineers, detection engineers and incident response engineers to build bronze, silver, gold quality data sets to meet detection, forensics and compliance needs.
- Develop best practices and standards that can be used by data engineers in the security team to build, optimize and maintain data pipelines.
- Build tools to detect, improve data quality and monitor data pipeline performance.
- Perform on-call rotation(24/7) to support any production issues or troubleshooting production jobs.

What we look for:

- 5+ years of experience in software or data engineering.
- 3+ years of experience in programming with python, scala or SQL. (preference for python)
- 3+ years of experience in building data pipelines using Spark or dataframes.
- 2+ years of experience in AWS, Azure or GCP.
- BS (or higher) in Computer Science, or a related field.
- Comfortable in exploring new tech or finding creative ways to solve problems.
- Experience in security engineering or detection engineering.
- Good communication skills, both written and verbal.
- Experience with NIST 800-53, FedRAMP, and related frameworks is preferred.

**Benefits**
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)

**About Databricks**

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

**Our Commitment to Diversity and Inclusion**

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

**Compliance

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