Solutions Architect – Consumer Packaged Goods, CPG
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Job Description
Solutions Architect leading Databricks data and AI platform strategies for consumer packaged goods customers. Designing cloud-native architectures, driving adoption, and advising senior technical stakeholders.
Responsibilities:
- Own end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions and design 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 through custom-built solutions demonstrating Databricks' differentiation
- Develop and declare an emerging technical specialization and become a go-to resource for the team
- Orchestrate cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive solutions
- Influence product direction through structured feedback on customer requirements and competitive gaps
- Participate in recruiter, hiring manager, design and architecture, live coding, build/demo/pitch, and reference check stages
Requirements:
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building
- Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficiency on the Databricks Platform or ability to achieve proficiency rapidly
- Developing technical specialization in one area, such as real-time/streaming, ML/AI, data governance, or migrations
- Ability 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, including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills for translating 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 nice to have
- Experience with Snowflake, AWS native services, or Azure Synapse is nice to have
- Background in a data/AI company or cloud provider is nice to have
- Industry domain expertise is nice to have
Benefits:
- Annual performance bonus eligibility
- Equity eligibility
- Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)
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