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Solutions Architect - Communications, Media, Entertainment and Games
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
ICT
💰 Salary Not shared
📊 Market ₹14,000–₹22,000/mo (₹168,000–₹264,000/yr)
About the Company
Databricks is a data and AI company that provides a platform for data engineering, machine learning, and analytics, helping customers build and manage their data and AI strategies.
Responsibilities
- ● 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 specialization (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.
Requirements
- ● 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 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).
- ● Databricks certifications (Data Engineer, ML, Platform) are nice to have.
- ● Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against is nice to have.
- ● Background in a data/AI company or cloud provider is nice to have.
- ● Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) is nice to have.
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