Solutions Architect (Communications, Media, Entertainment and Games)

Location: Philadelphia, Pennsylvania, United States; candidates in other locations may be considered.

Salary: $180,000–$247,500 USD annually, plus potential annual performance bonus, equity, and benefits.

Company

Databricks is a data and AI company providing a unified platform for data engineering, machine learning, analytics, lakehouse workloads, and AI applications.

What you will do

• Own end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
• Advise customer architects, engineering leads, and directors on technical strategy and trade-offs.
• Drive competitive technical wins through custom-built solutions and Databricks platform demonstrations.
• Develop a technical specialization and coordinate DSAs, SSAs, partners, and other cross-functional resources.
• Provide structured customer and competitive feedback 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 skills, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Experience with Databricks or the ability to become proficient quickly, with a developing specialization in areas such as streaming, ML/AI, data governance, or migrations.
• Experience leading architecture discussions with senior technical stakeholders and deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance.
• 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 the platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data and AI company or cloud provider.
• Industry expertise in financial services, healthcare, retail, media, or related domains.

Culture & Benefits

• Potential eligibility for an annual performance bonus and equity.
• Comprehensive benefits and perks tailored to the employee’s region.
• Inclusive workplace committed to equal employment opportunity and diversity.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
• Reference check.