Sr. Solutions Architect - Manufacturing
Senior pre-sales Solutions Architect leading technical strategy and ML/AI adoption for large enterprise manufacturing accounts. Partners with AEs to drive data-driven transformation and build technical champions.
About the job
Outcomes
- Work with multiple clients as the main technical voice for Databricks.
- Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
- Implement the technical strategy in the account, in close understanding of the strategy.
- Build a movement of technical champions within the account.
- Align technical strategies around Databricks solutions.
- Provide structured mentorship for other team members.
- Gain the respect of peers based on experience, insight, and contributions.
Competencies
- Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
- Experience working very large (> $1m ARR), global accounts.
- Form relationships with executives and influencers.
- Present a convincing point-of-view to important decision-makers that leads them down a path of success.
- Technical in big data, data science and cloud.
- An ability in data-driven business transformation, and driving change with data.
- Production programming experience in Python, R, Scala or Java.
Nice to Have
- Databricks Certification.
Skills
Python, R, Scala, Java, Big Data, Data Science, Cloud Computing, Machine Learning, Artificial Intelligence, Technical Account Management
Similar jobs
Solutions Architecture jobsLeads pre-sales technical strategy and enterprise adoption of Databricks for Travel and Hospitality customers, guiding data and AI transformations. Requires substantial enterprise account, pre-sales, big data, cloud, data science, and production programming experience.
The Solutions Architect will lead pre-sales architecture, demonstrations, and proofs of concept for Customer Lake, advising marketing and data executives on customer data, CDP, Lakehouse, and agentic AI solutions. The role requires at least five years in customer-facing pre-sales or consulting and hands-on cloud data architecture experience.
Leads complex enterprise data and AI architecture engagements, drives Databricks adoption and consumption, and advises executive stakeholders. Requires 8+ years in solutions architecture or related customer-facing technical leadership, deep data-platform expertise, and advanced Python and SQL proficiency.
Leads complex enterprise architecture engagements, consumption strategy, and executive relationships for data and AI platform adoption. Requires 8+ years in solutions architecture or related technical leadership, expert Python and SQL skills, and deep enterprise data architecture expertise.
Leads complex enterprise data and AI architecture engagements, driving Databricks adoption, executive relationships, and consumption strategy. Requires 8+ years of customer-facing technical leadership, expert Python and SQL skills, deep enterprise data architecture expertise, and strong executive influence.