Senior Solutions Architect - Strategic Accounts, Digital Native Business

Databricks; Atlanta (GA); On-site; USD 137,000 - 193,000; Full time

Job summary

Databricks seeks a Senior Solutions Architect for strategic accounts within the digital native business sector. This mid-senior level position requires deep expertise in data engineering and data science, aiming to collaborate with leading organizations to innovate and enhance their data strategies through advanced analytics. Candidates should have significant experience with Big Data technologies and proven leadership skills in technical environments to succeed in this dynamic role.

Benefits

Annual performance bonus

Equity options

Comprehensive benefits package

Qualifications

• 7+ years in data engineering, data science, or technical architecture.
• Experience with public cloud services like AWS, Azure or GCP is crucial.
• Comfortable programming in Python and SQL.

Responsibilities

• Provide technical leadership to solve customer business problems with Databricks.
• Consult on Big Data architecture and implement proof of concepts.
• Collaborate with sales and solutions architecture teams for customer engagement.

Skills

Data Engineering

Data Science

Technical Leadership

Programming in Python

SQL

Big Data architectures

Education

Degree in a quantitative discipline

Tools

Spark

Hadoop

Kafka

pandas

scikit-learn

Tensorflow

Job description

Senior Solutions Architect - Strategic Accounts, Digital Native Business

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Senior Solutions Architect - Strategic Accounts, Digital Native Business

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Join to apply for the Senior Solutions Architect - Strategic Accounts, Digital Native Business role at Databricks

West Coast - United States

FEQ326R445

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

As a Senior Solutions Architect on the Digital Native Strategic team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at global scale. These companies are typically at the forefront of innovation, leveraging AI and Advanced analytics to power their products and operations. They include some of the most recognized and disruptive names in technology and digital services such as Doordash, Rivian and many more.

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

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.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with 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 users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) 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
  
  

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.

Zone 3 Pay Range

$137,400—$192,300 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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