Lead the technical strategy for customers as a Solutions Architect at Databricks in Stockholm.
Posted by employer 1 hour ago
First seen on Joblaze 40 minutes ago
Last verified on the company career page 39 minutes ago
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Databricks, the individual will lead the technical strategy for clients, guiding architecture discussions and driving platform adoption. Key skills include strong coding abilities in Python and SQL, along with expertise in distributed data systems and cloud-native architectures. This position is suited for someone with over six years of customer-facing experience, particularly in solutions architecture and data engineering. The role also involves influencing product direction based on customer feedback and requires excellent communication skills to convey complex technical concepts.
Quick facts
- Is the Solutions Architect role remote?
- It's hybrid — Databricks expects some on-site time in Stockholm, Sweden.
- How much experience is required?
- At least 6 years of relevant experience for this Solutions Architect role.
- Where is the role based?
- Databricks is hiring for this position in Stockholm, Sweden.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Databricks, GCP, Python, SQL.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect role at Databricks.
From the original posting
FEQ128R96 / Stockholm-based
The Role
As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialisation (archetype) - becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years customer-facing experience (pre-sales, consulting or advisory) including solutions architecture, data engineering and hands-on technical roles
- Strong coding proficiency and hands-on building skills in Python and SQL - you must demonstrate live coding, debugging, and an AI-first builder mindset.
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
- Cloud/data vendor and customer-side experience background
- Industry domain expertise (Manufacturing/Automotive, FSI/Insurance, Retail, Energy/Utilities, Telco).
- Fluency / Business proficiency in Swedish (or further Nordic language)
#LI-hybrid
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