Solutions Architect

Databricks Inc.; Stockholms kommun; On-site; SEK 707,059 - 924,616; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan

Paid time off

Equity

Job summary

Databricks Inc. is seeking a Solutions Architect in Stockholms län, Sweden. The ideal candidate will combine customer engagement with technical expertise to deliver impactful solutions using the Databricks platform.

This role is perfect for individuals who enjoy working at the intersection of business, data, and AI, and are motivated to turn ideas into practical solutions. Responsibilities include leading workshops and delivering proof-of-concepts, requiring a solid understanding of data architectures and pipelines.

Qualifications

• Experience in a presales, consulting, or advisory role.
• Ability to communicate complex technical topics to diverse audiences.
• Experience with large-scale datasets.

Responsibilities

• Collaborate with Account Executives to drive sales cycles.
• Lead customer workshops and discovery sessions.
• Translate business requirements into scalable data solutions.

Skills

Customer engagement

Python

Distributed data processing

Data pipelines

Technical sales

Data science workflows

Job description

Solutions Architect – Data & AI (Presales)

At Databricks, our Solutions Architects combine customer engagement with hands‑on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI – and who is motivated by turning ideas into working solutions.

What you’ll do

• Partner with Account Executives to drive technical sales cycles and customer outcomes


• Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders


• Build and deliver proof‑of‑concepts, demos, and solution prototypes using real data


• Translate business requirements into practical, scalable data and AI solutions


• Act as a trusted advisor, while also being able to go hands‑on to validate solutions end‑to‑end


• Work through technical challenges with customers, iterating and resolving issues as they arise


• Contribute reusable assets, patterns, and best practices that accelerate adoption across customers

What we’re looking for

Customer‑facing mindset

• Experience working with customers in a presales, consulting, or advisory capacity


• Ability to communicate complex topics to both technical and non‑technical audiences


• Comfortable leading discussions that connect business goals to technical decisions

Hands‑on technical foundation

• Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large‑scale datasets


• Understanding of data pipelines and modern data architectures


• Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)


• Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected


• Familiarity with analytics, data science, or machine learning workflows


• Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)


• Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems

Architecture & platform understanding

• Familiarity with cloud platforms and data technologies


• Ability to design solutions that consider scalability, performance, reliability, and data volumes


• Awareness of trade‑offs in architecture decisions and ability to adapt designs based on constraints

What makes you successful in this role

• You are comfortable switching between business dialogue and technical execution


• You don’t just describe solutions — you can build, validate, and iterate on them in practice


• You take ownership of technical challenges and push problems forward, even when things are not working as expected


• You apply structured thinking in discovery and can connect requirements to scalable technical solutions


• You understand that AI solutions depend on solid data foundations


• You are curious and continuously deepen your technical expertise

Benefits

We offer competitive compensation and comprehensive benefits, including health, dental, vision, retirement, paid time off, and equity.

Equal Opportunity Employer

Databricks is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.