Is the Sr. Solutions Engineer role remote?

It's hybrid — Databricks expects some on-site time in Mexico City.

How much experience is required?

At least 4 years of relevant experience for this Sr. Solutions Engineer role.

Where is the role based?

Databricks is hiring for this position in Mexico City.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Hadoop, Java, Kafka.

What seniority level is this role?

Databricks targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Sr. Solutions Engineer role at Databricks.

Sr. Solutions Engineer at Databricks

Joblaze summary

In the role of Sr. Solutions Engineer at Databricks, the individual will collaborate with customers to design and implement scalable data architectures, leveraging Databricks' technology. Key skills include expertise in big data engineering, data warehousing, and machine learning, along with proficiency in SQL and programming languages like Python or Scala. This position is ideal for someone with over four years of experience in a customer-facing technical role, capable of translating business needs into effective technology solutions. The role also involves significant interaction with various teams within Databricks to ensure customer needs are met.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
Databricks has 914 other open roles including Senior Payroll Analyst, Field Engineering Manager, Specialist Solutions Architects, Senior Support Engineer (GovOps) .
6532 active Python roles on Joblaze right now.
2732 active AWS roles on Joblaze right now.
2270 active SQL roles on Joblaze right now.
Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3235 roles). See Python salary trends

Quick facts

Is the Sr. Solutions Engineer role remote?: It's hybrid — Databricks expects some on-site time in Mexico City.
How much experience is required?: At least 4 years of relevant experience for this Sr. Solutions Engineer role.
Where is the role based?: Databricks is hiring for this position in Mexico City.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Hadoop, Java, Kafka.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Solutions Engineer role at Databricks.

From the original posting

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 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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

Sr. Solutions Engineer

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