Senior Solutions Architect (Utilities)

Senior Solutions Architect (Utilities)

Full-Time 80000 - 100000 € / year (est.) No home office possible
Databricks

At a Glance

  • Tasks: Engage with complex customers to achieve their unified platform goals and develop tailored solutions.
  • Company: Join Databricks, a leader in data analytics with a commitment to innovation and inclusivity.
  • Benefits: Comprehensive benefits, remote work options, and opportunities for professional growth.
  • Other info: Enjoy autonomy and travel opportunities while influencing decision-makers at all levels.
  • Why this job: Be a champion for customers while working with cutting-edge technology in a dynamic environment.
  • Qualifications: Technical background in Data Engineering or Machine Learning, with coding experience in Python or SQL.

The predicted salary is between 80000 - 100000 € per year.

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. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will 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.
  • You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
  • You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
  • You will have a builder mindset, prototype, create demos, and craft tailored solutions rather than relying only on slide decks.
  • You turn customer challenges into hands‑on proof points that accelerate confidence.
  • You will enjoy a high degree of autonomy and thrive 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 coding in a core programming language (e.g., Python or SQL) and willingness to learn a base level of Spark.
  • Hands‑on expertise with complex proofs‑of‑concept and public cloud platforms (AWS, Azure, 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.

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 https://www.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. 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.

Senior Solutions Architect (Utilities) employer: Databricks

At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development tracks and the opportunity to engage with leading utilities customers, ensuring that every team member can thrive in their career while contributing to impactful data solutions. With comprehensive benefits and a strong focus on diversity and inclusion, Databricks is the ideal place for those seeking meaningful and rewarding employment in the tech industry.

Databricks

Contact Detail:

Databricks Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Solutions Architect (Utilities)

Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, workshops, or seminars related to data analytics and cloud solutions. You never know who might be looking for someone just like you!

Tip Number 2

Show off your skills! Create a portfolio of your work, including any prototypes or demos you've built. This will not only showcase your technical abilities but also demonstrate your builder mindset, which is super important for roles like the Senior Solutions Architect.

Tip Number 3

Prepare for those tricky interviews! Research common questions for technical pre-sales roles and practice your responses. Be ready to discuss how you've influenced decision-makers and tackled complex customer interactions in the past.

Tip Number 4

Don’t forget to 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 and contributing to our vision.

We think you need these skills to ace Senior Solutions Architect (Utilities)

Customer Engagement Strategies
Technical Pre-Sales
Data Engineering
Data Warehousing (DWH)
Machine Learning
AI Background
Solution Architecture

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, machine learning, or any relevant technical skills. We want to see how your background aligns with the Senior Solutions Architect role and the specific needs of our Utilities customers.

Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex customer challenges in the past. We love seeing candidates who can turn obstacles into opportunities, so don’t hold back on those success stories!

Highlight Your Technical Expertise:Don’t forget to mention your coding experience, especially in Python or SQL, and any hands-on work with cloud platforms like AWS, Azure, or Google. We’re looking for someone who can dive deep into technical discussions, so let us know what you’ve got!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!

How to prepare for a job interview at Databricks

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 Lakehouse platform and how you can leverage them to solve customer challenges.

Engage with Real Scenarios

Prepare to showcase your problem-solving skills by discussing real-world scenarios where you've turned customer challenges into hands-on proof points. Think about specific examples where you've influenced decision-makers or crafted tailored solutions that made a difference.

Build Relationships

Since you'll be working closely with customers and internal teams, practice how to build rapport quickly. Be ready to discuss your approach to engaging with stakeholders at all levels, especially C-level executives, and how you can orchestrate teams for long-term success.

Show Your Builder Mindset

Demonstrate your builder mindset by sharing experiences where you've prototyped or created demos. Highlight your willingness to learn new technologies like Spark and how you’ve used coding skills in Python or SQL to develop innovative solutions.