Full-Time

Manager – Field Engineering

Posted on 8/27/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$201.6k - $356.6kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Washington, USA + 2 more

More locations: Oregon, USA | California, USA

Position requires in-office presence on the west coast.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Data Science
Requirements
  • Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
  • 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
  • Trusted advisor to technical executives that guide strategic data infrastructure decisions
  • Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
  • Strong understanding of consumption-driven business models and the recipes for long term growth and success
Responsibilities
  • You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses
  • You will maintain a robust hiring pipeline at all times
  • Establish relationships across the business to make your customers and team successful
  • Keep your team of SAs ahead of the technical curve
  • Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
  • Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
  • Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

6%

1 year growth

35%

2 year growth

74%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for data lakehouse solutions boosts Databricks' market potential.
  • Acquisition of Tabular aligns with the trend towards open-source data management tools.
  • Expansion in AI and machine learning applications benefits Databricks' key sectors.

What critics are saying

  • Increased competition from Voyage AI challenges Databricks' market position in AI analytics.
  • Integration of Tabular may pose challenges and distract from core operations.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with various cloud services for seamless data management and analysis.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE