Solutions Architect, Media, Entertainment and Agencies
Leads customer technical strategy, architecture, and Databricks adoption across data, AI, and real-time analytics solutions. Requires 6+ years of relevant experience, strong Python and SQL skills, public-cloud deployment experience, and the ability to advise senior technical stakeholders.
About the job
Responsibilities
- Own end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
- Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, machine learning and artificial intelligence, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical strategy.
- Demonstrate platform differentiation through custom-built solutions in competitive scenarios.
- Develop a technical specialization and serve as a team resource in that domain.
- Coordinate data solution architects, specialized solution architects, and partners to deliver comprehensive customer solutions.
- Provide structured feedback on customer requirements and competitive gaps to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong Python and SQL coding proficiency, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform, or the ability to become proficient rapidly, with a developing technical specialization.
- Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Production deployment experience on public cloud, including infrastructure, security, and governance considerations.
- Track record of driving platform adoption and account consumption growth.
- Excellent communication skills for translating complex architectures into business value for 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 in data engineering, machine learning, or platform technologies.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data/AI company or cloud provider.
- Media, entertainment, or agency industry expertise.
Benefits
- Comprehensive regional benefits and perks.
Skills
Python, SQL, Databricks, Distributed Systems, Data Pipelines, Streaming Architectures, Lakehouse, Machine Learning, Real-Time Analytics, AWS, Microsoft Azure, GCP, Snowflake, Azure Synapse
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