[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Solutions Architect – Communications, Media, Entertainment and Games Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 180k–247,500 / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished29 Oct 2026Apply before28 Nov 2026Listing views42Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Databricks seeks a senior Solutions Architect to own technical strategy and platform adoption for Communications, Media, Entertainment, and Games customers. The role combines customer-facing technical pre-sales work with hands-on architecture design across data engineering, real-time analytics, ML/AI, cloud infrastructure, and governance. The architect will lead discovery through production deployment, build custom demonstrations, coordinate specialists and partners, and influence product direction through customer feedback. Candidates need at least six years of relevant experience, strong Python and SQL skills, and the ability to communicate architectural trade-offs to both engineering leaders and executives. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-impact technical pre-sales role requiring deep distributed-data expertise, live coding ability, and credible executive-level advisory skills. Success depends on independently designing production-grade solutions while advancing adoption in complex, competitive customer accounts. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$213,750US market range (per year)$170k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD 180,000–247,500 pay range described as base salary for non-commissionable roles or on-target earnings for commissionable roles. The annual cadence is inferred from the full-time US senior-role context and compensation magnitude, as no explicit pay period is stated. The estimated US market range for comparable senior data/AI solutions architects is USD 170,000–260,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solutions Architecture](https://jobicy.com/jobs?search_keywords=Solutions%20Architecture.md)[Technical Pre-Sales](https://jobicy.com/jobs?search_keywords=Technical%20Pre-Sales.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Distributed Data Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Data%20Systems.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Streaming Architecture](https://jobicy.com/jobs?search_keywords=Streaming%20Architecture.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Lakehouse Architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20Architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md)[Executive Stakeholder Management](https://jobicy.com/jobs?search_keywords=Executive%20Stakeholder%20Management.md) Sample interview questionsHow would you design a scalable real-time analytics architecture on Databricks for a media customer processing high-volume event data?I would begin by defining event volume, latency, retention, governance, and consumption requirements. I would propose a streaming ingestion layer, Delta Lake bronze-silver-gold data design, schema evolution and quality controls, and optimized serving tables for analytics or ML workloads. I would also address autoscaling, observability, access controls, disaster recovery, and cost management, then validate the design against measurable latency and reliability targets. Describe how you would position Databricks against a competing data platform in a customer architecture discussion. I would first uncover the customer’s technical and business priorities rather than lead with product features. I would map those priorities to Databricks capabilities such as unified data and AI workflows, open lakehouse architecture, governance, streaming, and collaborative development. I would acknowledge valid competitor strengths, identify architectural trade-offs, and demonstrate the proposed approach with a focused proof of value tied to adoption and business outcomes. What steps would you take when a customer’s existing batch pipeline is unreliable and difficult to scale? I would assess source systems, data quality issues, pipeline dependencies, workload patterns, failure modes, SLAs, and cost drivers. I would then recommend an incremental modernization plan using layered data modeling, orchestration, idempotent processing, observability, and automated data-quality checks. The plan would prioritize quick reliability gains while creating a path toward scalable, governed production operations. How do you explain a complex data and AI architecture to executive stakeholders? I translate technical decisions into outcomes such as faster insights, lower operational risk, reduced time to production, stronger governance, and improved customer experiences. I use a simple visual architecture, state the trade-offs clearly, and focus discussion on business metrics, investment priorities, and delivery milestones. Technical depth remains available for engineering teams, but the executive narrative stays outcome-oriented. Give an example of how you would drive platform adoption after an initial deployment. I would define adoption goals with account stakeholders, identify priority workloads and user groups, and create a joint success plan with milestones. I would enable teams through workshops, reference implementations, office hours, and usage reviews while tracking platform consumption, workload health, and realized business value. Feedback from those reviews would guide additional use cases and remove technical or organizational blockers. Opportunity details ## About this role. FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG 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 specialization (archetype) and are recognized 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 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 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 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) 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 (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 1 Pay Range $180,000—$247,500 USD Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range $180,000—$247,500 USD Zone 4 Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. 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