Leads customer technical strategy and designs production-grade data, AI, and real-time analytics solutions on Databricks. Requires 6+ years of relevant experience, strong Python and SQL skills, cloud deployment expertise, and the ability to advise senior technical stakeholders.
Salary not listed
Remote6+ YOESolutions Architecture
About the role
Responsibilities
Own the end-to-end technical strategy for 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 through custom-built solutions.
Develop and declare an emerging technical specialization, becoming a go-to resource for the team in that domain.
Orchestrate cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive solutions.
Influence product direction by providing structured feedback on customer requirements and competitive gaps.
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, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.
Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
Experience with production deployments on public cloud, including infrastructure, security, and governance considerations.
Track record of driving platform adoption and consumption growth within accounts.
Excellent communication skills, with the ability to translate complex architectures into business value for technical and executive audiences.
Ability to travel to customers 30% of the time.
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to Have
Databricks certifications in data engineering, ML, or platform technologies.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in a data/AI company or cloud provider.
Industry domain expertise in financial services, healthcare, retail, media, or related fields.
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