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Sr. Network Engineer

DatabricksDatabricks·Cloud Computing / Data Analytics

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~12 min

Company site

Posted

1 day

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About the role

GAQ426R352

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

The Corporate Engineering team is responsible for building/providing services and infrastructure that enable bricksters to be successful. A core area of focus for this role is Network Infrastructure and Automation.

Databricks is hiring an experienced Senior Network Engineer to help grow and scale our campus Network infrastructure and zero trust framework, as the company continues its hyper-growth. You will be a key member of the Corporate Engineering team to build out a scalable network infrastructure while building automation and meeting security and compliance needs .You will report to the Head of Corporate Engineering. You will come up to speed on existing capabilities as a foundation towards developing solutions at scale. This also is an opportunity to join a new sub team of Corporate Engineering focused on Network / Cloud infrastructure and related SRE functions.

The impact you will have:

  • You will manage Databricks LAN, WAN and VPN approach by designing and implementing highly available, redundant, and low-latency company campus networks.
  • You will provide infrastructure that is both secure and performant with focus on delivering amazing experiences for stakeholders through technologies such as SD-WAN and WIFI6/7 solutions.
  • You will develop and implement network automation for scale and predictability, leveraging common languages and configuration as code such as Ansible and Terraform.
  • You will facilitate partnerships with security and compliance teams to ensure the network is based on seamless security design
  • Assist Corporate Engineering leadership in Capacity Planning, driving outcomes and network roadmap through network analytics and stakeholder feedback.
  • Knowledge transfer, transparency, enablement and mentoring of other team members, vendors, including maintaining detailed system documentation, contributing towards monitoring and metrics for SRE functions and maintaining vendor relationships

What we look for:

  • 5+ years of experience or related experience in designing and building highly redundant network infrastructure for campus networks with an emphasis on ZeroTrust, SD-WAN and Wireless.
  • A strong candidate will demonstrate a deep understanding of OSI Layer and its application.
  • 5+ years of experience or related experience applying network and security principles within a cloud infrastructure deployment. Demonstrated experience in secure transport methods (SSH,TLS,IPSEC), IAM, VPCs and connectivity such as IaaS peering and VPN solutions.
  • Strong track record of delivering resilient network systems and services with a focus on delivering amazing experiences for end users.
  • Strong hands-on technical skills. Can drill deep into the complex network system design and implementation when needed. Familiarity with APIs and designing solutions to leverage interfaces to build network automation or capabilities such as dashboarding or monitoring.
  • Strong experience in previous implementations of Palo Alto Networks Global Protect, Prisma Access VPN solutions, including the implementation of network capabilities in AWS and hybrid scenarios.
  • Working knowledge of SD-WAN ( Palo Alto Networks SD-WAN solution)
  • Must have experience with Aruba wireless echo system ( Aruba switches/AP’s and central)
  • Proficiency in Ansible and Terraform for network automation.
  • Comfortable programming in languages such as Spark, Python, node.js, golang or Scala is ideal

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.

Synthesized from recent postings & public sources

What's promising

  • Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
  • The company is a leader in big data and AI, driving significant industry advancements.
  • Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

  • High competition in cloud data analytics could impact market share.
  • Rapid scaling may strain internal resources and affect company culture.
  • Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

  • Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
  • Focus on AI efficiency and optimization differentiates its research initiatives.
  • Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About Databricks

Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.

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