Full-Time

Resident Solutions Architect

Confirmed live in the last 24 hours

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

Canada

Candidate must be based in Canada.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Data Science
Apache Spark
AWS
Scala
Databricks
Data Analysis
Google Cloud Platform

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 30% of the time
  • Databricks Certification
Responsibilities
  • Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

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. The platform streamlines processes such as data ingestion, management, and analysis, and operates on a subscription model where clients pay for access to its features. Key functionalities include automated ETL processes, secure data sharing, and high-performance analytics, along with support for machine learning and AI workloads, enabling users to build and deploy models at scale.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion for AI product development and global expansion.
  • The acquisition of BladeBridge enhances Databricks' capabilities in automated data migration.
  • Increased demand for real-time analytics boosts adoption of Databricks' platform.

What critics are saying

  • Increased competition from Snowflake challenges Databricks' lakehouse architecture.
  • Integration challenges from BladeBridge acquisition may disrupt workflows and delay rollouts.
  • Reliance on large-scale debt financing poses financial risks if market conditions change.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
  • Databricks integrates seamlessly with various cloud services, supporting multi-cloud strategies.

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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

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-1%
Intelligence360
Feb 10th, 2025
Databricks Secures $15B for AI Expansion

Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.

PR Newswire
Feb 4th, 2025
Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations

/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...

WowTale
Jan 23rd, 2025
Databricks Secures $15B in Series J Funding

Databricks announced the completion of a Series J funding round, raising $15 billion, with participation from existing investor Qatar Investment Authority and new investors Temasek and Macquarie Capital. The company is now valued at $62 billion. Meta joined as a strategic investor. Databricks plans to use the funds for AI product development, M&A, and global expansion. Additionally, they secured a $5.25 billion credit facility led by major financial institutions.

Tech in Asia
Jan 23rd, 2025
Databricks Secures $10B Funding with Meta

Databricks has secured Meta as a new investor in a $10 billion funding round, one of the largest in venture capital, with contributions from the Qatar Investment Authority. This investment supports Meta's development of Llama, an open-source large language model used in Databricks' AI offerings. Databricks has raised a total of $14 billion in venture funding and is considering an IPO within the next year.

LiveMint
Jan 13th, 2025
Databricks Inks $5 Billion Financing From Private Credit, Banks

Software maker Databricks Inc. has clinched more than $5 billion of financing from lenders including Blackstone Inc., Apollo Global Management Inc. and Blue Owl Capital Inc. in its largest debt raise to date, according to people with knowledge of the matter.