Solutions Architect - Nordics Fungible
Databricks · Stockholm, Sweden · Field Engineering - Other · listed September 2, 2026
The shape of it
Seniority
Principal
Where
Hybrid
Requirements listed
6
Length
874 words
In the posting’s own words
As a Fungible Solutions Architect, you lead the technical strategy on time-boxed, targeted engagements - typically one to five months - aimed at accelerating a specific set of critical customer workloads from evaluation to a production-grade technical win. You own the architecture conversation, drive platform adoption, and act as a trusted advisor to customer architects and engineering leaders, then transition the momentum you've built to the core account team.
What it asks for · 6
- Several years of experience (typically ~6+) in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role, or a track record that demonstrates equivalent depth.
- Hands-on coding ability in Python and SQL, with the ability to build, debug, and demonstrate working solutions live.
- Depth in distributed data systems and production cloud deployments (AWS, Azure, or GCP), scalable pipelines, streaming, and lakehouse patterns, plus the infrastructure, security, and governance to run them.
- Proficiency on the Databricks Platform, or a demonstrated ability to ramp on new technology quickly. A strong "spike" in an area such as real-time/streaming, ML/AI, data governance, or migrations helps you add value fast.
- Experience leading architecture discussions with senior technical stakeholders, design reviews, trade-off analysis, clear recommendations, and translating complex architecture into business value for both engineers and executives.
- The temperament this team runs on: comfort with ambiguity and time-boxed engagements, strong prioritisation, and a genuine preference for variety and high-impact work.
Also a plus
- Databricks certifications (Data Engineer, ML, or Platform).
- Familiarity with competitive platforms (Snowflake, AWS native services, Azure Synapse) and how to position against them.
- Background in a data/AI company or cloud provider.
- Depth in an industry vertical (Financial Services, Healthcare, Retail, Media, and others).
What the job covers
- Accelerate what matters most: parachute into strategic, high-profile opportunities and own a clearly defined technical area, moving critical workloads and use cases from evaluation toward production and consumption.
- Lead the architecture: design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and lead the whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders.
- Win the technical decision : demonstrate Databricks' differentiation through custom-built solutions in competitive, must-win scenarios.
- Move fast while maintaining the bar: establish momentum quickly in ambiguous situations and compress timelines without cutting corners.
- Hand off, don't hold on : package your progress into a clean transition to core SAs, DSAs, specialists, or partners so wins are sustained and expanded after you move to the next engagement.
- Scale : bring back patterns, plays, and product feedback that make every engagement after yours faster.
Tools and skills named
Data
- Databricks4×
- Data warehouse
- Snowflake
Cloud & infra
- AWS2×
- Azure2×
- GCP
Models & research
- Machine learning3×
Go to market
- Solutions architecture2×
Languages
- Python
- SQL
Security & compliance
- Security
Words the posting leans on
- technical9×
- depth6×
- architecture5×
- data5×
- engagements5×
- engineering5×
- solutions5×
- area4×
- bring4×
- customer4×
- platform4×
- win4×
- cases3×
- critical3×
- demonstrate3×
- fast3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.