Solutions Architect - Digital Native Business, Strategic

Databricks

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United States First seen 3 weeks ago Last seen 4 hours, 40 minutes ago Greenhouse

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Job Description

AI Summary

• Partner with strategic customers and sales teams to design big data solutions using Databricks platform, driving technical discovery and competitive deal wins • Work with data engineering, data science, and ML teams to architect and implement production-scale solutions spanning distributed systems, POCs, and cloud integrations • Requires 5+ years in data engineering, data science, technical architecture, or pre-sales/consulting with proficiency in Python, SQL, and public cloud platforms (AWS/Azure/GCP) • Build trusted advisor relationships with C-suite and VP-level stakeholders, translating technical capabilities into business value and outcomes • Remote position with travel to customer locations; involves researching emerging technologies, promoting open-source projects (Spark, Delta Lake, MLflow), and mentoring technical champions

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of.

Reporting to the Field Engineering Manager, you will collaborate with strategic 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.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable.

The impact you will have:

You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.
Continuously research & learn new technologies and their implementations on Databricks
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.
Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.

What we look for:

5+ 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)

Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.
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

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

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

$180,000—$247,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.

Compliance

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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills

go sql aws rust git python

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Job Information

Company:
Databricks
Location:
United States
Job Type:
Full-Time
Work Location:
Remote
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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