Solutions Architect – Adtech

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

📋 Description

• Take full ownership of the technical strategy for accounts, guiding them from initial discovery to production deployment and fostering consumption growth.

• Lead intricate architecture discussions and design scalable, production-ready solutions in the realms of data engineering, ML/AI, and real-time analytics.

• Act as a reliable technical advisor for customer architects, engineering leads, and directors.

• Achieve technical victories in competitive situations by creating custom solutions that highlight Databricks' unique advantages.

• Cultivate and announce a developing technical specialization, becoming a key resource for the team.

• Coordinate cross-functional teams, including DSAs, SSAs, and partners, to provide comprehensive solutions.

• Shape product direction by offering structured feedback on customer needs and identifying competitive gaps.

⛳️ Requirements

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

• Strong coding skills in Python and SQL.

• Demonstrated capability in live coding, debugging, and building solutions.

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

• Proficient in the Databricks Platform or able to quickly reach proficiency.

• Developing technical expertise in a specific area such as real-time/streaming, ML/AI, data governance, or migrations.

• Capacity 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, encompassing infrastructure, security, and governance aspects.

• Proven history of driving platform adoption and increasing consumption growth within accounts.

• Exceptional communication abilities, with a talent for translating 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 competitive platforms, a background in data/AI companies or cloud providers, and industry domain expertise are advantageous.

🏝️ Benefits

• A comprehensive array of benefits and perks; specific details may vary by region.

• Benefits information is provided through Databricks' regional benefits document.