Senior Solutions Architect - Life Sciences
Leads complex enterprise data and AI architecture engagements, platform adoption, competitive strategy, and executive customer relationships. Requires 8+ years of senior technical customer-facing experience, expert Python and SQL skills, deep data architecture expertise, and German proficiency.
About the job
Responsibilities
- Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
- Own senior-level technical relationships and advise enterprise customers on data and AI strategy.
- Lead complex architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as an expert on the Databricks Platform, mentor peers, and drive horizontal impact across the team and region.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate cross-functional teams, including data specialists, solution architects, partners, and product teams, to deliver enterprise-grade solutions.
- Coach and develop junior solutions architects on technical depth, customer engagement, and use-case prioritization.
- Contribute to field engineering thought leadership through customer-facing content, workshops, and community engagement.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark or PySpark preferred. The interview includes a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, including distributed systems, streaming and real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Track record of driving consumption growth and platform adoption in large accounts.
- Executive presence and ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Experience leading competitive displacements and complex enterprise evaluations.
- Strong strategic thinking and ability to connect technical architecture decisions to business outcomes and revenue impact.
- Bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Professional working proficiency in German.
Nice to Have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data/AI company.
- Published thought leadership, such as blogs, conference talks, or open-source contributions.
- Deep Life Sciences and Healthcare industry expertise, including data strategies for R&D, clinical trials, and commercialization.
Skills
Python, SQL, Spark, Pyspark, Databricks, Distributed Systems, Streaming, Lakehouse, Data Governance, Cloud-Native Platforms, Machine Learning, Artificial Intelligence, Enterprise Migrations, Databricks Certifications
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