
The Data and AI Company.
Sr. Solutions Architect - Communications
FEQ227R233
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 3 Pay Range**$219,100—$301,300 USD**
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
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
2.5
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
4.0
72%
知人への推奨率
良い点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
改善点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
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
面接レビュー
レビュー5件
難易度
3.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 80%
ネガティブ 20%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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