Partner Solutions Architect
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Benefits
Joblaze summary
In the role of Partner Solutions Architect at Databricks, the individual will engage with Consulting and System Integrator partners to enhance their technical capabilities and drive customer success using the Databricks platform. Key skills include expertise in data engineering and cloud architecture, with proficiency in languages like SQL and Python, as well as experience with tools such as Apache Spark and MLflow. This position is ideal for candidates with over five years in pre-sales or consulting roles, particularly those who can effectively communicate complex technical concepts. The role offers an opportunity to work within a dynamic team at a leading data and AI company.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 2358 active Python roles on Joblaze right now.
- 1250 active AWS roles on Joblaze right now.
- 1036 active SQL roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Partner Solutions Architect role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: pandas, AWS, Delta Lake, Java, Hadoop, scikit-learn.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Partner Solutions Architect role at Databricks.
From the original posting
FEQ127R214
As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.
The impact you will have:
- Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
- Engage with the partner technical community by leading workshops, seminars, and meet-ups
- You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
- Show expertise by producing creative technical solutions and blog post
What we look for:
- 5+ years of pre-sales or post-sales experience working with external clients or partners 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
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience developing architectures within a public cloud (AWS, Azure, or GCP)
- Coding experience in SQL, Python, Scala, or Java
- Expertise in at least one of the following:
- Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Written and verbal level fluency in Japanese and English
Benefits
- Benefits allowance
- 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.
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 click here.
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.