Sr. Solutions Engineer

Posted 9 Days Ago
Be an Early Applicant
Mexico City, Cuauhtémoc, Mexico City, MEX
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Partner with sales and customer technical teams to design scalable Databricks-based data architectures, present reference architectures and demos, validate integrations, and consult on data engineering, data science, and ML projects to drive platform adoption and production deployments.
Summary Generated by Built In
As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.
 
The impact you will have: 
● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. 
● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. 
● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. 
● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. 
● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
 
What we look for: 
● 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: 
● Big data engineering (Ex: Spark, Hadoop, Kafka) 
● Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS) 
● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) 
● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) 
● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business. 
● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures. 
● Fluent in SQL and database technology. 
● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R. 
● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) 
● Travel to customers in your region up to 50% of the time.

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 click here.

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 Required

  • 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • Expertise in at least one area: Big data engineering (Spark, Hadoop, Kafka), Data Warehousing & ETL (SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (pandas, scikit-learn), or Data Applications
  • Experienced at designing, architecting, and presenting data systems and managing delivery of production solutions
  • Fluent in SQL and database technology
  • Debug and development experience in at least one: Python, Scala, Java, or R
  • Ability to translate customer business needs into technical solutions and gain stakeholder buy-in
  • Travel to customers in your region up to 50% of the time
  • Built solutions with public cloud providers such as AWS, Azure, or GCP
  • Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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