Solutions Architect (Media, Entertainment and Agencies)
Lead the technical strategy for customers in the media and entertainment sector as a Solutions Architect at Databricks.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 40 minutes ago
Role intensity
30% coding — mostly leadership/strategy
Requirements
- Experience
- 6+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Databricks, the individual will spearhead the technical strategy for clients, guiding them from initial discussions to full deployment of data solutions. Key skills include proficiency in Python and SQL, along with a strong understanding of distributed data systems and cloud platforms. This position is ideal for seasoned professionals with over six years of experience in solutions architecture or data engineering, particularly those with a background in media, entertainment, or agencies. The role also offers the opportunity to influence product direction and develop a technical specialization within a dynamic team.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze September 4, 2026. Last confirmed on Databricks's careers page November 11, 2026.
Quick facts
- How much experience is required?
- At least 6 years of relevant experience for this Solutions Architect (Media, Entertainment and Agencies) role.
- 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 (Media, Entertainment and Agencies) role at Databricks.
From the original posting
Req ID: FEQ427R403
Location London, UK
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 recognised 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 in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- 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 specialisation 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
- Background in a data/AI company or cloud provider
- Industry domain expertise (Media, Entertainment and Agencies)
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.