arrow_back Back to Dashboard search Browse Jobs

Databricks

✓ Verified Sponsor

Solutions Architect - Communications, Media, Entertainment and Games

🗓️ Posted 2026-08-27 Los Angeles, California Hybrid ICT

Company shared salary

Market rate

₹14,000–₹22,000/mo (₹168,000–₹264,000/yr)

Based on similar roles (title + domain + location).

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) (Nice to Have)
● Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against (Nice to Have)
● Background in a data/AI company or cloud provider (Nice to Have)
● Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) (Nice to Have)