Solutions Architect – Consumer Packaged Goods, CPG

This is a fully remote position, open to applicants in Connecticut, +7 more states.

📋 Description

• Take ownership of the complete technical strategy for accounts, from the initial discovery phase to production deployment and growth in consumption.

• Lead intricate architecture discussions and design scalable, production-ready solutions that encompass 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 developing custom solutions that showcase Databricks' unique advantages.

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

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

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

• Engage in various stages including recruiter and hiring manager processes, design and architecture discussions, live coding, build/demo/pitch sessions, and reference checks.

⛳️ 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, including live coding, debugging, and building solutions.

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

• Proficiency with the Databricks Platform or the ability to quickly gain proficiency.

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

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

• Experience with production deployments on AWS, Azure, or GCP, considering infrastructure, security, and governance aspects.

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

• Outstanding communication skills for converting complex architectures into business value.

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

• Databricks certifications are a plus.

• Familiarity with Snowflake, AWS native services, or Azure Synapse is advantageous.

• Experience working in a data/AI company or cloud provider is a plus.

• Domain expertise in the industry is a plus.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity participation eligibility.

• Comprehensive benefits and perks (specific details provided through Databricks benefits documentation).