Full-Time

Manager – Field Engineering

Posted on 12/20/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

Toronto, ON, Canada

Open to remote candidates in other locations in eastern Canada.

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Sales
Data Science
Product Management
Databricks
Requirements
  • 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals
  • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
  • A deep technical understanding of the impact which Data & AI can drive within various industry segments
  • Trusted advisor to technical executives that guide strategic data infrastructure decisions
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
  • Experience hiring candidates, ramping them up to be successful, and promoting into larger roles
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
  • Experience working with other teams such as Sales, Product Management, Engineering, and Customer Success
  • Must be technical enough to earn the trust of Engineering talent and leadership Databricks
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.
Responsibilities
  • You will hire, train, grow and manage 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
  • Partner with sales leadership to hit sales and consumption targets and ensure customer success
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

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

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for data lakehouse solutions boosts Databricks' market potential.
  • Growing interest in open-source tools aligns with Databricks' acquisition of Tabular.
  • Expansion of AI applications in key sectors enhances Databricks' client base.

What critics are saying

  • Increased competition from companies like Snowflake threatens Databricks' market share.
  • Integration challenges with Tabular could lead to operational inefficiencies.
  • Rapid AI model development may attract ethical and regulatory scrutiny.

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