採用
必須スキル
Python
R
Java
Apache Spark
Scala
Big Data
Data Engineering
Data Science
Cloud Architecture
Consulting
FEQ227R52
As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.
The impact you will have:
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You will be a Big Data Analytics expert on aspects of architecture and design
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Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
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Support your customers by authoring reference architectures, how-tos, and demo applications
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Integrate Databricks with 3rd-party applications to support customer architectures
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Engage with the technical community by leading workshops, seminars and meet-ups
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Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value
What we look for:
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Strong consulting / customer facing experience , working with external clients across a variety of industry markets
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Core strength in either data engineering or data science technologies
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8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
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8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
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6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
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Coding experience in Python, R, Java, Apache Spark ™ or Scala
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, please visit https://www.mybenefitsnow.com/databricks.
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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Databricksについて

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
従業員数
San Francisco
本社所在地
$43B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
4.0
72%
友人に勧める
良い点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
改善点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
給与レンジ
34件のデータ
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1件のレポート
$171,004
年収総額
基本給
$148,699
ストック
-
ボーナス
-
$171,004
$171,004
面接体験
6件の面接
難易度
3.2
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 83%
ネガティブ 17%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
ニュース&話題
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4d ago
Introducing Genie Agent Mode - Databricks
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News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
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News
·
5d ago