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databricks
Страна
Грузия
Зарплата
219 100 $ – 301 300 $
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SeniorГибридПолная занятость

Sr. Solutions Architect - Communications

Оценка ИИ

Превосходная позиция в компании-лидере рынка с очень высокой компенсацией, четкими путями карьерного роста и возможностью работать с передовыми технологиями ИИ и данных.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью сочетать глубокие технические навыки (Spark, Python, облачные платформы) с умением вести переговоры на уровне C-level и управлять сложными циклами продаж.

Анализ зарплаты

Медиана240 000 $
Рынок190 000 $ – 290 000 $
Оценка ИИ

Предлагаемая зарплата ($219k - $301k) находится на верхнем пределе рыночного диапазона для Senior Solutions Architect в США, что отражает премиальный статус Databricks как работодателя.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Solutions Architect position at Databricks. With extensive experience in technical pre-sales and a deep understanding of cloud ecosystems, I have consistently helped enterprise customers transform their data strategies into actionable, high-impact solutions. My background in Python and hands-on expertise with public cloud platforms align perfectly with your mission to unify data, analytics, and AI through the Data Intelligence Platform.

Throughout my career, I have excelled at bridging the gap between complex technical architectures and business value for C-level executives. I am particularly drawn to Databricks because of its culture of innovation and its roots in the creation of Apache Spark™ and MLflow. I am eager to bring my skills in use case prioritization and stakeholder influence to your team, helping customers in the communications sector navigate their most challenging data hurdles while mentoring the next generation of Solutions Architects.

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Описание вакансии

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 TwitterLinkedIn and Facebook.

BenefitsAt 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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Навыки

  • Python
  • Machine Learning
  • Apache Spark
  • Java
  • Data Analytics
  • Pre-sales
  • Cloud Computing
  • Scala
  • Solution Architecture

Возможные вопросы на собеседовании

Проверка технической экспертизы в экосистеме Databricks.

Как бы вы объяснили преимущества архитектуры Lakehouse клиенту, который в настоящее время использует традиционное хранилище данных?

Оценка навыков работы с возражениями и конкурентной борьбы.

Опишите случай, когда вы столкнулись с сильной конкуренцией со стороны другого облачного решения. Как вы адаптировали свою стратегию, чтобы продемонстрировать превосходство Databricks?

Проверка лидерских качеств и навыков наставничества.

Как вы подходите к обучению младших архитекторов решений в вопросах приоритизации кейсов использования и создания технических чемпионов внутри компании клиента?

Оценка опыта работы с высокоуровневыми стейкхолдерами.

Расскажите о самом сложном взаимодействии с руководителем уровня C. Как вы выстраивали отношения, чтобы обеспечить долгосрочный успех проекта?

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С какими основными проблемами производительности вы сталкивались при работе со Spark в публичном облаке и как вы их решали?

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databricks
Страна
Грузия
Зарплата
219 100 $ – 301 300 $