At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leading data and AI company transforming how businesses use data.
- Benefits: Comprehensive benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
- Why this job: Be a key player in revolutionising data analytics and making a real-world impact.
- Qualifications: Experience in Data Engineering or Machine Learning, with strong technical and customer engagement skills.
The predicted salary is between 80000 - 100000 £ per year.
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer‑centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world‑class, cross‑functional team of Solutions Architects, Account Executives, and technology Specialists.
The impact you will have:
- Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.
- Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.
- Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
- Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd‑party applications, ensuring they are excited about the Databricks vision and solution strategy.
- Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks' technical community engagement by developing customer‑facing collateral and leading workshops, seminars, and meet‑ups.
- Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
- Know how to engage in complex customer interactions and sales lifecycle in a technical pre‑sales capacity.
- Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks.
- Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
- Ability to influence decision‑makers and C‑level executives through developing relationships and orchestrating teams to achieve long‑term success for customers.
- Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark.
- Hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s) across AWS, Azure and Google.
- Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
Nice to have: Databricks Certification. Up to 30‑40% travel to London offices and customer sites.
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.
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, please visit mybenefitsnow.com/databricks.
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.
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.
Senior Solutions Architect Utilities Energy in London employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect Utilities Energy in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, webinars, or even local events related to data and analytics. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your technical expertise and past projects. Whether it's a GitHub repository or a personal website, make sure it showcases your ability to solve complex data challenges. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research Databricks and understand their Data Intelligence Platform inside out. Be ready to discuss how your experience aligns with their mission and how you can help their customers achieve their goals. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Databricks team. Don’t hesitate – get your application in and let’s change how people work with data together!
We think you need these skills to ace Senior Solutions Architect Utilities Energy in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data engineering or machine learning, especially as it relates to the utilities sector. We want to see how your skills align with our mission at Databricks!
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used Python, SQL, or cloud platforms like AWS or Azure in past projects. This will help us see your hands-on expertise.
Engage with Our Values:Familiarise yourself with our core values and reflect them in your application. Show us how you embody a customer-centric mindset and a proactive approach in your previous roles. We love candidates who resonate with our culture!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Databricks Inc.
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around Data Engineering, Data Warehousing, and Machine Learning. Be ready to discuss how these areas relate to the Databricks Data Intelligence Platform and how you can leverage them to solve customer challenges.
✨Showcase Your Builder Mindset
Prepare to demonstrate your ability to prototype and create tailored solutions. Bring examples of past projects where you’ve crafted custom demos or solutions rather than just relying on presentations. This will show your hands-on approach and creativity.
✨Engage with Real Scenarios
Think of complex customer interactions you’ve had in the past and be ready to discuss them. Highlight how you influenced decision-makers and navigated challenging environments. This will showcase your experience and ability to handle ambiguity.
✨Be a Team Player
Emphasise your collaborative skills. Talk about how you’ve worked with cross-functional teams in previous roles, especially in a pre-sales capacity. Show that you can coach and guide others while also being a trusted advisor for customers.
