The role requires a High School diploma or equivalent and at least three years of industrial manufacturing technician experience. Additional qualifications, such as an Associate's degree in Industrial Maintenance and Automation, PLC and automated manufacturing equipment knowledge, and experience with electrical and tolerance measuring devices, are desired.

The starting rate of pay for this position is $31.44 - $39.72 per hour, based on experience, qualifications, and other job-related factors. This position operates on a rotating crew schedule, which offers additional earning opportunities.

3M offers various benefits, including programs to support physical and financial well-being, competitive pay and benefits, and a comprehensive total rewards package.

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You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

The Impact You Will Have:

• Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth.
• Own senior-level technical relationships , serving as a trusted advisor on enterprise data and AI strategy.
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
• Operate as an Expert on the Databricks Platform with a declared archetype , actively mentoring others and driving horizontal impact across your team.
• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
• Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions.
• Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization.
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

What We Look For:

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert-level coding proficiency , Python, SQL, and ideally Spark/PySpark.
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
• Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability).
• Declared technical specialization with recognised depth , e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Proven track record of driving consumption growth and platform adoption in large accounts.
• Executive presence , 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 , connecting 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); advanced degrees are valued.

Nice to Have:

• Databricks certifications.
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
• Published thought leadership (blogs, conference talks, open source contributions).
• Strategic account expertise with executive-level domain credibility.

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You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles.

You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space.

Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape.

As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will map to highly visible enterprise clients under the CMEG umbrella.

You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account.

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight.
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion.
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.
• The ability to simplify a technical capability into a value-based benefit.
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts.
• Managing a small set of enterprise accounts rather than a broad territory.
• Bachelor's Degree.

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices.

The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.

For more information regarding which range your location is in visit our page here.

Local Pay Range: $272,000-$374,000 USD

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Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using Databricks' platform and APIs.

Your responsibilities include:

• Partnering with the sales team to provide technical leadership and help customers understand how Databricks can solve their business problems.
• Consulting on Big Data architectures and implementing proof of concepts for strategic projects.
• Collaborating with fellow Solutions Architects to support each other and users.
• Becoming an expert in and promoting Databricks-inspired open-source projects.

Requirements:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
• Experience building distributed data systems.
• Proficiency in Python and SQL.
• Experience with public cloud providers such as AWS, Azure, or GCP.
• Expertise in data engineering or data science technologies.

Nice to have:

• Databricks Certification.
• Degree in a quantitative discipline.

We offer a comprehensive benefits package, including eligibility for annual performance bonus, equity, and benefits.

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Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.

You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows.
• Act as strategic technical advisor to customers to help them drive business outcomes.
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in and debugging Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

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