Solutions Architect - Manufacturing

Databricks Inc.; Lansing (MI); On-site; USD 150,000 - 190,000; Full time

Job summary

Databricks is seeking experienced pre-sales Solutions Architects to partner with Enterprise AEs and define technical strategies for large accounts. You will build proofs-of-concept, demonstrate Databricks products, and lead virtual teams to drive ML and AI adoption across multiple verticals.

You will collaborate with hands-on resources, mentor teammates, and articulate the business value of Databricks solutions, enabling data-driven transformations at scale.

Qualifications

• Experience in building and leading virtual teams.
• Strong technical foundation in data engineering, cloud data warehousing, and data science.
• Proficiency in Python, R, Scala, or Java.
• Hands-on experience conducting live coding sessions with stakeholders.
• Databricks Certifications.

Responsibilities

• Be the main technical voice for Databricks with multiple clients.
• Lead customers on a transformational journey to adopt Databricks.
• Implement the technical strategy in accounts with clear business value.
• Build a movement of technical champions within accounts.
• Align technical strategies around Databricks solutions.
• Provide structured mentorship for other team members.
• Establish and lead virtual teams to success within the account.
• Build relationships with executives and influencers internally and with customers.
• Leverage experience in data engineering, cloud data warehousing, and data science.
• Drive data-driven transformation using data.
• Demonstrate production programming in Python, R, Scala, or Java.
• Conduct live coding sessions with stakeholders.

Skills

Virtual team leadership

Data engineering

Cloud data warehousing

Data science

Python

R

Scala

Java

Live coding sessions

Databricks Certifications

Job description

FEQ427R286

We are looking for experienced pre‑sales professionals with a proven track record of helping large enterprises become more data‑driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI.

You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts.

Your work with customers will include partnering with hands‑on resources. You will build proofs‑of‑concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals.

As a technical partner, you will work alongside hands‑on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI’s relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.

Key responsibilities include:

• Work with multiple clients as the main technical voice for Databricks.


• Lead your customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.


• Implement the technical strategy in the accounts with a clear understanding of this strategy and its business value.


• Build a movement of technical champions within the account.


• Align technical strategies around Databricks solutions.


• Provide structured mentorship for other team members.


• Establish and lead virtual teams to ultimate success within the account.


• Build relationships with executives and influencers, both internally and with customers.


• Leverage technical experience in data engineering, cloud data warehousing, and/or data science.


• Drive data‑driven business transformation and change with data.


• Production programming expertise in Python, R, Scala, or Java.


• Conduct live/vibe coding sessions with stakeholders.

Qualifications:

• Experience in building and leading virtual teams.


• Strong technical foundation in data engineering, cloud data warehousing, and data science.


• Proficiency in at least one programming language: Python, R, Scala, or Java.


• Hands‑on experience conducting live coding sessions with stakeholders.


• Databricks Certifications.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.