Solutions Architect
Vor 3 Tagen
FEQ125R76
At Databricks, our values are at the forefront of 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 forward. 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 an important member of our team, you will play an important role in our mission. Using your technical expertise, you will show our customers how the Data Intelligence Platform can help solve their complex data challenges. Working with a collaborative, customer-focused team, you will use your skills to develop custom solutions that help our customers achieve their goals and build their businesses forward. 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 Manager, Field Engineering.
**The impact you will have**:
- Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers, in collaboration with Account Executives.
- Operate as an expert in the sphere of big data analytics with the aim to get customers excited about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
- As an expert in the sphere of big data analytics, you will be seen as an expert on issues of architecture and design.
- Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to deliver technical and business value.
**What we look for**:
- You will be experienced engaging customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
- Develop customer relationships and build internal partnerships with account executives and teams.
- Prior experience coding in a core programming language (i.e. Python, Java, Scala) and familiarity with distributed computing e.g. using Apache Spark.
- Proficient in Big Data Analytics technologies including hands-on expertise with complex proof-of-concepts, governance and public cloud platform(s).
- Your skillset background will include Data Engineering with hands-on experience in performance tuning and optimising data workloads.
- Experienced in use case discovery, scoping and delivering complex solution architecture designs to multiple audiences requiring ability to context switch in levels of technical depth.
**Benefits**
- Private medical insurance
- Life, accident & disability insurance
- Pension Plan
- Vision Reimbursement
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus
**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.
**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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