Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Overview

Databricks is hiring a Senior Specialist Solutions Engineer to guide customers in building big data solutions on the Databricks platform. You'll leverage your expertise in Apache Spark and DevOps to support solution architects and ensure successful implementations. This role requires hands-on experience in data engineering and pipeline orchestration.

Job Description

Who you are

You have a strong background in data engineering and have spent several years working with big data solutions — your hands-on experience with Apache Spark and pipeline orchestration has equipped you to tackle complex data challenges. You thrive in customer-facing roles, where your ability to communicate technical concepts clearly helps guide clients through their data journey. Your expertise in DevOps practices allows you to optimize production environments and ensure seamless integration of data solutions. You are passionate about mentoring others and continuously improving your technical skills through learning and collaboration. You understand the importance of aligning technical roadmaps with business intelligence workloads, and you are adept at designing data pipelines that meet diverse use cases.

Desirable

Experience with data lake technology or big data streaming is a plus, as is familiarity with enterprise data governance and architecture design. You are comfortable working with solution architects and have a knack for creating compelling proof of concept content that showcases the capabilities of the Databricks platform.

What you'll do

In this role, you will provide technical leadership to strategic customers, guiding them through the implementation of big data projects from architectural design to model deployment. You will architect production-level data pipelines, focusing on performance testing and optimization to ensure efficient data processing. Your role will involve collaborating closely with solution architects to address advanced technical aspects of the sales process, including crafting custom proof of concepts that demonstrate the value of Databricks solutions. You will also engage in mentorship, helping to develop the skills of your peers while contributing to the overall success of the team. As a go-to expert, you will stay updated on industry trends and best practices, ensuring that your knowledge remains cutting-edge and relevant.

What we offer

At Databricks, you will be part of a dynamic team that is transforming the way organizations leverage data. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a direct impact on our customers' success. You will have access to ongoing training and development opportunities, allowing you to grow your expertise in data engineering and big data solutions. We believe in fostering a culture of inclusivity and support, where every team member can thrive and make a difference in the world of data.

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