Solutions Data Architect

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. You will report to the Solutions Architect Manager.

**The impact you will have**:

- You will be a **Big Data Analytics expert** on aspects of architecture and design
- Lead your clients through evaluating and adopting Databricks including hands-on Spark programming and integration with the wider cloud ecosystem
- Engage with the technical community by leading workshops, seminars and meet-ups
- 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**:

- **Consulting, Pre-sales** or post-sales experience working with external clients across a variety of industry markets
- Understanding of **customer-facing** pre-sales or **consulting role** with a core strength in either data engineering or data science advantageous
- 5+ years of experience demonstrating technical concepts, including **demos**, **presenting and white-boarding**:

- 8+ years of experience **designing architectures** within a public cloud (AWS, Azure or GCP)
- 5+ years of experience with **Big Data technologies**, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Solid coding experience in Python, R, Java, Spark or Scala
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

**Benefits**
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
- Mental wellness resources

**About Databricks**

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M 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.