At a Glance
- Tasks: Design and deliver innovative AI/BI solutions while collaborating with account teams.
- Company: Join Databricks, a leader in cloud-based data analytics and visualisation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by driving product adoption and shaping the future of data analytics.
- Qualifications: 6+ years in customer-facing roles with expertise in SQL, Python, and cloud environments.
- Other info: Dynamic team environment with opportunities to influence product development.
The predicted salary is between 48000 - 72000 £ per year.
The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.
By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.
The AI/BI product-line requires the following core technical competencies:
- Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment.
- Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue.
- Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers.
- Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL.
The impact you will have:
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
- As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
- Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.
6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast-paced, customer-facing environments.
Senior Solutions Architect - AI/BI employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect - AI/BI
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Senior Solutions Architect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-based Data Visualisation and Analytics Solutions. Demos, case studies, or even a blog can highlight your expertise and make you stand out to potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by role-playing common scenarios you might face as a Solutions Architect. Think about how you'd tackle complex technical challenges and communicate effectively with clients.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to show your enthusiasm for joining the Databricks team and getting involved in our exciting projects.
We think you need these skills to ace Senior Solutions Architect - AI/BI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with cloud-based data visualisation and analytics solutions. We want to see how your skills align with the specific requirements of the Senior Solutions Architect role.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical competencies, especially in SQL, Python, and cloud platforms like AWS, Azure, or GCP. We’re looking for candidates who can demonstrate hands-on experience and a solid understanding of lakehouse architecture.
Highlight Collaboration Experience: Since this role involves working closely with account teams and clients, make sure to emphasise any past experiences where you’ve successfully collaborated on projects. We love seeing examples of teamwork that led to successful outcomes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensure it gets into the right hands. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud-based data visualisation and analytics solutions. Brush up on your knowledge of lakehouse architecture, Apache Spark, Python, and SQL. Being able to discuss these technologies confidently will show that you’re the right fit for the role.
✨Understand the Client's Needs
Before the interview, research the company’s clients and their business objectives. Think about how the Solutions Architect role can help them achieve their goals. This will allow you to demonstrate your ability to foster relationships and provide tailored solutions during the interview.
✨Prepare Engaging Presentations
Since the role involves delivering presentations and demos, practice creating engaging content that showcases your technical expertise. Use real-world examples to illustrate how you’ve successfully implemented strategies in previous roles. This will help you stand out as a candidate who can drive product adoption.
✨Showcase Your Collaborative Spirit
Highlight your experience working with account executives and cross-functional teams. Be ready to discuss specific instances where you’ve collaborated to tackle complex challenges. This will demonstrate your ability to work effectively within a team and contribute to the overall success of the organisation.