Solutions Architect – Communications, Media, Entertainment & Gaming

atDatabricksRemoteUS flagUnited StatesFull-timeSolutions EngineerMid-levelSenior$139.7k – $247.3k/year

Posted Oct 30

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the comprehensive technical strategy for customer accounts, from initial discovery to production deployment and growth in consumption.

• Facilitate intricate architecture discussions and design scalable, production-ready solutions encompassing data engineering, ML/AI, and real-time analytics.

• Act as a trusted technical advisor to customer architects, engineering leaders, and directors.

• Achieve technical victories in competitive situations by showcasing Databricks’ unique offerings through tailor-made solutions.

• Cultivate and announce an emerging technical specialization to become a key resource for the team.

• Coordinate cross-functional teams, including DSAs, SSAs, and partners, to deliver all-encompassing solutions.

• Shape product direction through systematic feedback on customer needs and competitive deficiencies.

• Illustrate how Databricks’ Data Intelligence Platform assists customers in overcoming complex data challenges and reaching their business objectives.


⛳️ Requirements

• Over 6 years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical position.

• Strong proficiency in coding with Python and SQL, encompassing live coding, debugging, and developing solutions.

• Extensive knowledge in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Familiarity with the Databricks Platform or a proven ability to achieve proficiency swiftly.

• Development of technical specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.

• Capability to lead architecture discussions with senior technical stakeholders, including whiteboarding sessions, design reviews, and trade-off analyses.

• Experience with production deployments on AWS, Azure, or GCP, including considerations for infrastructure, security, and governance.

• Proven track record of fostering platform adoption and consumption growth within accounts.

• Exceptional communication skills for articulating complex architectures into business value for both technical and executive audiences.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

• Databricks certifications, familiarity with Snowflake/AWS native services/Azure Synapse, experience with data/AI companies or cloud providers, and domain expertise are advantageous.


🏝️ Benefits

• Eligibility for annual performance bonuses.

• Equity opportunities.

• A comprehensive package of benefits and perks, with specific regional benefits outlined in Databricks’ benefits information.

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