Senior Solutions Architect

vor 2 Wochen

Munich, Deutschland Databricks Vollzeit

At Databricks, our values are central to everything we do. Our proactive, customer-focused culture drives us to create a unified platform that makes data science and analytics accessible to everyone.

Our goal is to empower our customers with the tools they need to make informed decisions that grow their business. Our platform is user-friendly and intuitive, making it easy to turn insights into action and encouraging a culture of creativity, experimentation, and continuous improvement.

As a Senior Solutions Architect (data engineering, analytics, AI/ML/DS, big data, public cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be an important part of the sales team, as a technical advisor, and working with the product team as an advocate of your customers in the field. You will help your customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse platform, establishing a clear architectural vision and identifying compelling use cases, helping our customers realise value. 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. You will report to the Senior Manager, Field Engineering.

**The impact you will have**:

- As an expert in the sphere of big data analytics, you will be seen as an expert on issues of architecture and design
- Lead your clients through evaluating and adopting Databricks Lakehouse platform
- Engage with the technical community (both internal and customer) by leading workshops, seminars and meet-ups
- Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to deliver exceptional technical and business value

**What we look for**:

- An ability to share technical concepts, including presenting and white-boarding
- Pre
- or post-sales experience working with external clients providing expertise
- Design and implement architectures within a public cloud (AWS, Azure or GCP)
- You have experience with big data technologies such as Apache Spark, Hadoop or Cassandra
- Proficiency writing code in either Python, Scala or Java
- Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science advantageous
- Cloud platform and basic cloud security/networking knowledge advantageous
- A minimum of a bachelor's degree in Computer science, Information system, Engineering, Data Science or equivalent experience through work experience

**Benefits**
- Employer contributions to public or private health plan
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance

**About Databricks**

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

**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

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